This repo is used for recording and tracking recent personalized image generation with different generative models. For more detailed information, please refer to our survey paper: Personalized Image Generation with Deep Generative Models: A Decade Survey.
- Personalization with Diffusion Models
- Personalization with AR Models
- Personalization with GANs
- Related Surveys
Generating Multi-Image Synthetic Data for Text-to-Image Customization
Nupur Kumari, Xi Yin, Jun-Yan Zhu, Ishan Misra, Samaneh Azadi
Arxiv 2025. / PDF / Project / Code
Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation
Vera Soboleva, Maksim Nakhodnov, Aibek Alanov
Arxiv 2025. / PDF
Nested Attention: Semantic-aware Attention Values for Concept Personalization
Patashnik, Or and Gal, Rinon and Ostashev, Daniil and Tulyakov, Sergey and Aberman, Kfir and Cohen-Or, Daniel.
Arxiv 2025. / PDF / Project
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Li, Xinghui and Sun, Qichao and Zhang, Pengze and Ye, Fulong and Liao, Zhichao and Feng, Wanquan and Zhao, Songtao and He, Qian.
Arxiv 2024. / PDF / Project / Code
Customized Generation Reimagined: Fidelity and Editability Harmonized
Jin, Jian and Shen, Yang and Fu, Zhenyong and Yang, Jian.
ECCV 2024. / PDF / Code
P3S-Diffusion: A Selective Subject-driven Generation Framework via Point Supervision
Hu, Junjie and Gao, Shuyong and Hong, Lingyi and Wang, Qishan and Zhao, Yuzhou and Wang, Yan and Zhang, Wenqiang.
Arxiv 2024. / PDF
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
Shin, Chaehun and Choi, Jooyoung and Kim, Heeseung and Yoon, Sungroh.
Arxiv 2024. / PDF / Project
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
Aiello, Emanuele and Michieli, Umberto and Valsesia, Diego and Ozay, Mete and Magli, Enrico.
Arxiv 2024. / PDF / Project / Code
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
Cai, Shengqu and Chan, Eric and Zhang, Yunzhi and Guibas, Leonidas and Wu, Jiajun and Wetzstein, Gordon.
Arxiv 2024. / PDF / Project
DreamBlend: Advancing personalized fine-tuning of text-to-image diffusion models
Ram, Shwetha and Neiman, Tal and Feng, Qianli and Stuart, Andrew and Tran, Son and Chilimbi, Trishul.
WACV 2025. / PDF
OminiControl: Minimal and Universal Control for Diffusion Transformer
Tan, Zhenxiong and Liu, Songhua and Yang, Xingyi and Xue, Qiaochu and Wang, Xinchao.
Arxiv 2024. / PDF / Code
One Diffusion to Generate Them All
Le, Duong H. and Pham, Tuan and Lee, Sangho and Clark, Christopher and Kembhavi, Aniruddha and Mandt, Stephan and Krishna, Ranjay and Lu, Jiasen.
Arxiv 2024. / PDF / Project / Code
Cusconcept: Customized visual concept decomposition with diffusion models
Xu, Zhi and Hao, Shaozhe and Han, Kai.
WACV 2025. / PDF / Code
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
He, Jing and Li, Haodong and Hu, Yongzhe and Shen, Guibao and Cai, Yingjie and Qiu, Weichao and Chen, Ying-Cong.
Arxiv 2024. / PDF / Project / Code
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
Guan, Shanyan and Ge, Yanhao and Tai, Ying and Yang, Jian and Li, Wei and You, Mingyu.
ECCV 2024. / PDF / Project
Learning to Customize Text-to-Image Diffusion In Diverse Context
Kim, Taewook and Chen, Wei and Qiu, Qiang.
Arxiv 2024. / PDF
ArtiFade: Learning to Generate High-quality Subject from Blemished Images
Yang, Shuya and Hao, Shaozhe and Cao, Yukang and Wong, Kwan-Yee K.
Arxiv 2024. / PDF
CustomContrast: A Multilevel Contrastive Perspective For Subject-Driven Text-to-Image Customization
Chen, Nan and Huang, Mengqi and Chen, Zhuowei and Zheng, Yang and Zhang, Lei and Mao, Zhendong.
Arxiv 2024. / PDF / Project
EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance
Duan, Zicheng and Ding, Yuxuan and Gou, Chenhui and Zhou, Ziqin and Smith, Ethan and Liu, Lingqiao.
Arxiv 2024. / PDF / Project / Code
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder
Park, NaHyeon and Kim, Kunhee and Shim, Hyunjung.
Arxiv 2024. / PDF / Project / Code
Omnigen: Unified image generation
Xiao, Shitao and Wang, Yueze and Zhou, Junjie and Yuan, Huaying and Xing, Xingrun and Yan, Ruiran and Wang, Shuting and Huang, Tiejun and Liu, Zheng.
Arxiv 2024. / PDF / Project / Code
Equilibrated Diffusion: Frequency-aware Textual Embedding for EquilibratedImage Customization
Liyuan Ma, Xueji Fang, Guo-Jun Qi
ACM MM 2024 Oral. / PDF / Project / Code
IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts
Rowles, Ciara and Vainer, Shimon and De Nigris, Dante and Elizarov, Slava and Kutsy, Konstantin and Donné, Simon.
Arxiv 2024. / PDF / Project / Code
BRAT: Bonus oRthogonAl Token for Architecture Agnostic Textual Inversion
Baker, James.
Arxiv 2024. / PDF / Code
RealCustom++: Representing Images as Real-Word for Real-Time Customization
Mao, Zhendong and Huang, Mengqi and Ding, Fei and Liu, Mingcong and He, Qian and Chang, Xiaojun and Zhang, Yongdong.
Arxiv 2024. / PDF
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Wu, Feize and Pang, Yun and Zhang, Junyi and Pang, Lianyu and Yin, Jian and Zhao, Baoquan and Li, Qing and Mao, Xudong.
Arxiv 2024. / PDF
Dreambench++: A human-aligned benchmark for personalized image generation
Peng, Yuang and Cui, Yuxin and Tang, Haomiao and Qi, Zekun and Dong, Runpei and Bai, Jing and Han, Chunrui and Ge, Zheng and Zhang, Xiangyu and Xia, Shu-Tao.
Arxiv 2024. / PDF / Project / Code
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
Zeng, Yu and Patel, Vishal M and Wang, Haochen and Huang, Xun and Wang, Ting-Chun and Liu, Ming-Yu and Balaji, Yogesh.
CVPR 2024. / PDF
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
Chan, Kelvin CK and Zhao, Yang and Jia, Xuhui and Yang, Ming-Hsuan and Wang, Huisheng.
CVPR 2024. / PDF
Non-confusing Generation of Customized Concepts in Diffusion Models
Lin, Wang and Chen, Jingyuan and Shi, Jiaxin and Zhu, Yichen and Liang, Chen and Miao, Junzhong and Jin, Tao and Zhao, Zhou and Wu, Fei and Yan, Shuicheng and {others}.
ICML 2024. / PDF / Project / Code
FreeTuner: Any Subject in Any Style with Training-free Diffusion
Xu, Youcan and Wang, Zhen and Xiao, Jun and Liu, Wei and Chen, Long.
Arxiv 2024. / PDF
Personalized Residuals for Concept-Driven Text-to-Image Generation
Ham, Cusuh and Fisher, Matthew and Hays, James and Kolkin, Nicholas and Liu, Yuchen and Zhang, Richard and Hinz, Tobias.
CVPR 2024. / PDF / Project
Moma: Multimodal llm adapter for fast personalized image generation
Song, Kunpeng and Zhu, Yizhe and Liu, Bingchen and Yan, Qing and Elgammal, Ahmed and Yang, Xiao.
ECCV 2024. / PDF / Project / Code
Moa: Mixture-of-attention for subject-context disentanglement in personalized image generation
Wang, Kuan-Chieh and Ostashev, Daniil and Fang, Yuwei and Tulyakov, Sergey and Aberman, Kfir.
SIGGRAPH Asia 2024. / PDF / Project
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Qiao, Pengchong and Shang, Lei and Liu, Chang and Sun, Baigui and Ji, Xiangyang and Chen, Jie.
CVPR 2024. / PDF / Project / Code
Tuning-free image customization with image and text guidance
Li, Pengzhi and Nie, Qiang and Chen, Ying and Jiang, Xi and Wu, Kai and Lin, Yuhuan and Liu, Yong and Peng, Jinlong and Wang, Chengjie and Zheng, Feng.
ECCV 2024. / PDF
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
Song, Yeji and Kim, Jimyeong and Park, Wonhark and Shin, Wonsik and Rhee, Wonjong and Kwak, Nojun.
Arxiv 2024. / PDF / Project / Code
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
He, Yutong and Robey, Alexander and Murata, Naoki and Jiang, Yiding and Williams, Joshua and Pappas, George J and Hassani, Hamed and Mitsufuji, Yuki and Salakhutdinov, Ruslan and Kolter, J Zico.
Arxiv 2024. / PDF
Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance
Pan, Yulin and Mao, Chaojie and Jiang, Zeyinzi and Han, Zhen and Zhang, Jingfeng.
Arxiv 2024. / PDF / Project / Code
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization
Huang, Mengqi and Mao, Zhendong and Liu, Mingcong and He, Qian and Zhang, Yongdong.
CVPR 2024. / PDF / Project / Code
Dreammatcher: Appearance matching self-attention for semantically-consistent text-to-image personalization
Nam, Jisu and Kim, Heesu and Lee, DongJae and Jin, Siyoon and Kim, Seungryong and Chang, Seunggyu.
CVPR 2024. / PDF / Project / Code
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image
Hong, Yan and Zhang, Jianfu.
Arxiv 2024. / PDF
Direct consistency optimization for compositional text-to-image personalization
Lee, Kyungmin and Kwak, Sangkyung and Sohn, Kihyuk and Shin, Jinwoo.
NeurIPS 2024. / PDF / Project / Code
Instruct-Imagen: Image generation with multi-modal instruction
Hu, Hexiang and Chan, Kelvin CK and Su, Yu-Chuan and Chen, Wenhu and Li, Yandong and Sohn, Kihyuk and Zhao, Yang and Ben, Xue and Gong, Boqing and Cohen, William.
CVPR 2024. / PDF
Memory-Efficient Personalization using Quantized Diffusion Model
Ryu, Hyogon and Lim, Seohyun and Shim, Hyunjung.
ECCV 2024. / PDF / Code
PALP: prompt aligned personalization of text-to-image models
Arar, Moab and Voynov, Andrey and Hertz, Amir and Avrahami, Omri and Fruchter, Shlomi and Pritch, Yael and Cohen-Or, Daniel and Shamir, Ariel.
SIGGRAPH Asia 2024. / PDF / Project
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion
Li, Wei and Xu, Xue and Liu, Jiachen and Xiao, Xinyan.
ACL 2024. / PDF / Project
Bootpig: Bootstrapping zero-shot personalized image generation capabilities in pretrained diffusion models
Purushwalkam, Senthil and Gokul, Akash and Joty, Shafiq and Naik, Nikhil.
Arxiv 2024. / PDF
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding
Lu, Jianxiang and Xie, Cong and Guo, Hui.
Arxiv 2024. / PDF
Pick-and-draw: Training-free semantic guidance for text-to-image personalization
Lv, Henglei and Xiao, Jiayu and Li, Liang.
ACM MM 2024. / PDF
Decoupled textual embeddings for customized image generation
Cai, Yufei and Wei, Yuxiang and Ji, Zhilong and Bai, Jinfeng and Han, Hu and Zuo, Wangmeng.
AAAI 2024. / PDF / Code
Retrieving conditions from reference images for diffusion models
Tang, Haoran and Zhou, Xin and Deng, Jieren and Pan, Zhihong and Tian, Hao and Chaudhari, Pratik.
Arxiv 2023. / PDF
Instructbooth: Instruction-following personalized text-to-image generation
Chae, Daewon and Park, Nokyung and Kim, Jinkyu and Lee, Kimin.
Arxiv 2023. / PDF / Project
Orthogonal adaptation for modular customization of diffusion models
Po, Ryan and Yang, Guandao and Aberman, Kfir and Wetzstein, Gordon.
CVPR 2024. / PDF / Project
Customization assistant for text-to-image generation
Zhou, Yufan and Zhang, Ruiyi and Gu, Jiuxiang and Sun, Tong.
CVPR 2024. / PDF
Dreamtuner: Single image is enough for subject-driven generation
Hua, Miao and Liu, Jiawei and Ding, Fei and Liu, Wei and Wu, Jie and He, Qian.
Arxiv 2023. / PDF / Project
Ssr-encoder: Encoding selective subject representation for subject-driven generation
Zhang, Yuxuan and Song, Yiren and Liu, Jiaming and Wang, Rui and Yu, Jinpeng and Tang, Hao and Li, Huaxia and Tang, Xu and Hu, Yao and Pan, Han and {others}.
CVPR 2024. / PDF / Project / Code
Towards accurate guided diffusion sampling through symplectic adjoint method
Pan, Jiachun and Yan, Hanshu and Liew, Jun Hao and Feng, Jiashi and Tan, Vincent YF.
Arxiv 2023. / PDF / Code
Catversion: Concatenating embeddings for diffusion-based text-to-image personalization
Zhao, Ruoyu and Zhu, Mingrui and Dong, Shiyin and Wang, Nannan and Gao, Xinbo.
Arxiv 2023. / PDF / Project / Code
Parameter-efficient orthogonal finetuning via butterfly factorization
Liu, Weiyang and Qiu, Zeju and Feng, Yao and Xiu, Yuliang and Xue, Yuxuan and Yu, Longhui and Feng, Haiwen and Liu, Zhen and Heo, Juyeon and Peng, Songyou and {others}.
ICLR 2024. / PDF
An image is worth multiple words: Multi-attribute inversion for constrained text-to-image synthesis
Agarwal, Aishwarya and Karanam, Srikrishna and Shukla, Tripti and Srinivasan, Balaji Vasan.
Arxiv 2023. / PDF
Hifi tuner: High-fidelity subject-driven fine-tuning for diffusion models
Wang, Zhonghao and Wei, Wei and Zhao, Yang and Xiao, Zhisheng and Hasegawa-Johnson, Mark and Shi, Humphrey and Hou, Tingbo.
Arxiv 2023. / PDF
Singleinsert: Inserting new concepts from a single image into text-to-image models for flexible editing
Wu, Zijie and Yu, Chaohui and Zhu, Zhen and Wang, Fan and Bai, Xiang.
Arxiv 2023. / PDF / Project / Code
An image is worth multiple words: Learning object level concepts using multi-concept prompt learning
Jin, Chen and Tanno, Ryutaro and Saseendran, Amrutha and Diethe, Tom and Teare, Philip.
ICML 2024. / PDF / Project / Code
Customnet: Zero-shot object customization with variable-viewpoints in text-to-image diffusion models
Yuan, Ziyang and Cao, Mingdeng and Wang, Xintao and Qi, Zhongang and Yuan, Chun and Shan, Ying.
Arxiv 2023. / PDF / Project
Viewpoint textual inversion: Unleashing novel view synthesis with pretrained 2d diffusion models
Burgess, James and Wang, Kuan-Chieh and Yeung, Serena.
ECCV 2024. / PDF / Project / Code
Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Ye, Hu and Zhang, Jun and Liu, Sibo and Han, Xiao and Yang, Wei.
Arxiv 2023. / PDF / Project / Code
Anydoor: Zero-shot object-level image customization
Chen, Xi and Huang, Lianghua and Liu, Yu and Shen, Yujun and Zhao, Deli and Zhao, Hengshuang.
CVPR 2024. / PDF / Project / Code
Subject-diffusion: Open domain personalized text-to-image generation without test-time fine-tuning
Ma, Jian and Liang, Junhao and Chen, Chen and Lu, Haonan.
SIGGRAPH 2024. / PDF / Project / Code
Domain-agnostic tuning-encoder for fast personalization of text-to-image models
Arar, Moab and Gal, Rinon and Atzmon, Yuval and Chechik, Gal and Cohen-Or, Daniel and Shamir, Ariel and H. Bermano, Amit.
SIGGRAPH Asia 2023. / PDF / Project
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation
Hao, Shaozhe and Han, Kai and Zhao, Shihao and Wong, Kwan-Yee K.
Arxiv 2023. / PDF / Code
Diffusion self-guidance for controllable image generation
Epstein, Dave and Jabri, Allan and Poole, Ben and Efros, Alexei and Holynski, Aleksander.
NeurIPS 2023. / PDF / Project
Controlling text-to-image diffusion by orthogonal finetuning
Qiu, Zeju and Liu, Weiyang and Feng, Haiwen and Xue, Yuxuan and Feng, Yao and Liu, Zhen and Zhang, Dan and Weller, Adrian and Schölkopf, Bernhard.
NeurIPS 2023. / PDF / Project / Code
Enhancing detail preservation for customized text-to-image generation: A regularization-free approach
Zhou, Yufan and Zhang, Ruiyi and Sun, Tong and Xu, Jinhui.
Arxiv 2023. / PDF / Code
Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation
Chen, Hong and Zhang, Yipeng and Wang, Xin and Duan, Xuguang and Zhou, Yuwei and Zhu, Wenwu.
ICLR 2024. / PDF / Code
Break-a-scene: Extracting multiple concepts from a single image
Avrahami, Omri and Aberman, Kfir and Fried, Ohad and Cohen-Or, Daniel and Lischinski, Dani.
SIGGRAPH Asia 2023. / PDF / Project / Code
Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing
Li, Dongxu and Li, Junnan and Hoi, Steven.
NeurIPS 2024. / PDF / Project / Code
Key-locked rank one editing for text-to-image personalization
Tewel, Yoad and Gal, Rinon and Chechik, Gal and Atzmon, Yuval.
SIGGRAPH 2023. / PDF / Project
A neural space-time representation for text-to-image personalization
Alaluf, Yuval and Richardson, Elad and Metzer, Gal and Cohen-Or, Daniel.
ACM TOG 2023. / PDF / Project / Code
Concept decomposition for visual exploration and inspiration
Vinker, Yael and Voynov, Andrey and Cohen-Or, Daniel and Shamir, Ariel.
ACM TOG 2023. / PDF / Project / Code
Prospect: Prompt spectrum for attribute-aware personalization of diffusion models
Zhang, Yuxin and Dong, Weiming and Tang, Fan and Huang, Nisha and Huang, Haibin and Ma, Chongyang and Lee, Tong-Yee and Deussen, Oliver and Xu, Changsheng.
ACM TOG 2023. / PDF / Code
The CLIP model is secretly an image-to-prompt converter
Ding, Yuxuan and Tian, Chunna and Ding, Haoxuan and Liu, Lingqiao.
NeurIPS 2023. / PDF
Instantbooth: Personalized text-to-image generation without test-time finetuning
Shi, Jing and Xiong, Wei and Lin, Zhe and Jung, Hyun Joon.
CVPR 2024. / PDF / Project
Subject-driven text-to-image generation via apprenticeship learning
Chen, Wenhu and Hu, Hexiang and Li, Yandong and Ruiz, Nataniel and Jia, Xuhui and Chang, Ming-Wei and Cohen, William W.
NeurIPS 2023. / PDF / Project
Taming encoder for zero fine-tuning image customization with text-to-image diffusion models
Jia, Xuhui and Zhao, Yang and Chan, Kelvin CK and Li, Yandong and Zhang, Han and Gong, Boqing and Hou, Tingbo and Wang, Huisheng and Su, Yu-Chuan.
Arxiv 2023. / PDF
Gradient-free textual inversion
Fei, Zhengcong and Fan, Mingyuan and Huang, Junshi.
ACM MM 2023. / PDF
p+: Extended textual conditioning in text-to-image generation
Voynov, Andrey and Chu, Qinghao and Cohen-Or, Daniel and Aberman, Kfir.
Arxiv 2023. / PDF / Project
Cones: Concept neurons in diffusion models for customized generation
Liu, Zhiheng and Feng, Ruili and Zhu, Kai and Zhang, Yifei and Zheng, Kecheng and Liu, Yu and Zhao, Deli and Zhou, Jingren and Cao, Yang.
ICML 2023. / PDF
Svdiff: Compact parameter space for diffusion fine-tuning
Han, Ligong and Li, Yinxiao and Zhang, Han and Milanfar, Peyman and Metaxas, Dimitris and Yang, Feng.
ICCV 2023. / PDF
Highly personalized text embedding for image manipulation by stable diffusion
Han, Inhwa and Yang, Serin and Kwon, Taesung and Ye, Jong Chul.
Arxiv 2023. / PDF / Project / Code
Unified multi-modal latent diffusion for joint subject and text conditional image generation
Ma, Yiyang and Yang, Huan and Wang, Wenjing and Fu, Jianlong and Liu, Jiaying.
Arxiv 2023. / PDF
Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation
Wei, Yuxiang and Zhang, Yabo and Ji, Zhilong and Bai, Jinfeng and Zhang, Lei and Zuo, Wangmeng.
ICCV 2023. / PDF / Code
Encoder-based domain tuning for fast personalization of text-to-image models
Gal, Rinon and Arar, Moab and Atzmon, Yuval and Bermano, Amit H and Chechik, Gal and Cohen-Or, Daniel.
ACM TOG 2023. / PDF / Project
Multi-concept customization of text-to-image diffusion
Kumari, Nupur and Zhang, Bingliang and Zhang, Richard and Shechtman, Eli and Zhu, Jun-Yan.
CVPR 2023. / PDF / Project / Code
Dreamartist: Towards controllable one-shot text-to-image generation via positive-negative prompt-tuning
Dong, Ziyi and Wei, Pengxu and Lin, Liang.
Arxiv 2022. / PDF
Personalizing text-to-image generation via aesthetic gradients
Gallego, Victor.
Arxiv 2022. / PDF / Code
Re-imagen: Retrieval-augmented text-to-image generator
Chen, Wenhu and Hu, Hexiang and Saharia, Chitwan and Cohen, William W.
ICLR 2023. / PDF
An image is worth one word: Personalizing text-to-image generation using textual inversion
Gal, Rinon and Alaluf, Yuval and Atzmon, Yuval and Patashnik, Or and Bermano, Amit H and Chechik, Gal and Cohen-Or, Daniel.
ICLR 2023. / PDF / Project / Code
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Pritch, Yael and Rubinstein, Michael and Aberman, Kfir.
CVPR 2023. / PDF / Project / Code
Lora: Low-rank adaptation of large language models
Hu, Edward J and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu.
ICLR 2022. / PDF / Code
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation
Hu, Xinting and Wang, Haoran and Lenssen, Jan Eric and Schiele, Bernt.
Arxiv 2025. / PDF / Code
IC-Portrait: In-Context Matching for View-Consistent Personalized Portrait
Yang, Han and Simsar, Enis and Anagnostidi, Sotiris and Zang, Yanlong and Hofmann, Thomas and Liu, Ziwei.
Arxiv 2025. / PDF
EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation
Jiang, Liangwei and Li, Ruida and Zhang, Zhifeng and Fang, Shuo and Ma, Chenguang.
Arxiv 2024. / PDF / Code
Diff-PC: Identity-preserving and 3D-aware controllable diffusion for zero-shot portrait customization
Xu, Yifang and Zhai, Benxiang and Zhang, Chenyu and Li, Ming and Li, Yang and Du, Sidan.
Information Fusion. / PDF
MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models
Zhao, Jing and Zheng, Heliang and Wang, Chaoyue and Lan, Long and Hunag, Wanrong and Tang, Yuhua.
AAAI 2025. / PDF / Project / Code
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
Li, Xinzhe and Zhan, Jiahui and He, Shengfeng and Xu, Yangyang and Dong, Junyu and Zhang, Huaidong and Du, Yong.
AAAI 2025. / PDF / Code
Omni-ID: Holistic Identity Representation Designed for Generative Tasks
Qian, Guocheng and Wang, Kuan-Chieh and Patashnik, Or and Heravi, Negin and Ostashev, Daniil and Tulyakov, Sergey and Cohen-Or, Daniel and Aberman, Kfir.
Arxiv 2024. / PDF / Project
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
Sun, Zhaoyang and Du, Fei and Chen, Weihua and Wang, Fan and Chen, Yaxiong and Rong, Yi and Xiong, Shengwu.
AAAI 2025. / PDF
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency
Cai, Yiyang and Jiang, Zhengkai and Liu, Yulong and Jiang, Chunyang and Xue, Wei and Luo, Wenhan and Guo, Yike.
Arxiv 2024. / PDF
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion
Kim, Gwanghyun and Jeon, Suh Yoon and Lee, Seunggyu and Chun, Se Young.
Arxiv 2024. / PDF / Project / Code
ID-Patch: Robust ID Association for Group Photo Personalization
Zhang, Yimeng and Zhi, Tiancheng and Liu, Jing and Sang, Shen and Jiang, Liming and Yan, Qing and Liu, Sijia and Luo, Linjie.
Arxiv 2024. / PDF / Project
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization
Yu, Cheng and Xie, Haoyu and Shang, Lei and Liu, Yang and Dan, Jun and Bo, Liefeng and Sun, Baigui.
Arxiv 2024. / PDF / Code
Imagine yourself: Tuning-free personalized image generation
He, Zecheng and Sun, Bo and Juefei-Xu, Felix and Ma, Haoyu and Ramchandani, Ankit and Cheung, Vincent and Shah, Siddharth and Kalia, Anmol and Subramanyam, Harihar and Zareian, Alireza and {others}.
Arxiv 2024. / PDF
Fusion is all you need: Face Fusion for Customized Identity-Preserving Image Synthesis
Mohamed, Salaheldin and Han, Dong and Li, Yong.
Arxiv 2024. / PDF
ID-Booth: Identity-consistent image generation with diffusion models
Tomašević, Darian and Boutros, Fadi and Damer, Naser and Struc, Vitomir and Peer, Peter.
OpenReview 2024. / PDF
UniPortrait: A Unified Framework for Identity-Preserving Single-and Multi-Human Image Personalization
He, Junjie and Geng, Yifeng and Bo, Liefeng.
Arxiv 2024. / PDF / Project / Code
Difflora: Generating personalized low-rank adaptation weights with diffusion
Wu, Yujia and Shi, Yiming and Wei, Jiwei and Sun, Chengwei and Zhou, Yuyang and Yang, Yang and Shen, Heng Tao.
Arxiv 2024. / PDF
MagicFace: Training-free Universal-Style Human Image Customized Synthesis
Wang, Yibin and Zhang, Weizhong and Jin, Cheng.
Arxiv 2024. / PDF / Project / Code
MagicID: Flexible ID Fidelity Generation System
Deng, Zhaoli and Liu, Wen and Wang, Fanyi and Zhang, Junkang and Chen, Fan and Zhang, Meng and Zhang, Wendong and Mi, Zhenpeng.
Arxiv 2024. / PDF
Precisecontrol: Enhancing text-to-image diffusion models with fine-grained attribute control
Parihar, Rishubh and Sachidanand, VS and Mani, Sabariswaran and Karmali, Tejan and Venkatesh Babu, R.
ECCV 2024. / PDF / Project / Code
Cross Initialization for Face Personalization of Text-to-Image Models
Pang, Lianyu and Yin, Jian and Xie, Haoran and Wang, Qiping and Li, Qing and Mao, Xudong.
CVPR 2024. / PDF / Code
MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation
Wei, Yuxiang and Ji, Zhilong and Bai, Jinfeng and Zhang, Hongzhi and Zhang, Lei and Zuo, Wangmeng.
ECCV 2024. / PDF / Project / Code
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Sun, Zhicheng and Yang, Zhenhao and Jin, Yang and Chi, Haozhe and Xu, Kun and Chen, Liwei and Jiang, Hao and Song, Yang and Gai, Kun and Mu, Yadong.
NeurIPS 2024. / PDF / Code
Pulid: Pure and lightning id customization via contrastive alignment
Guo, Zinan and Wu, Yanze and Chen, Zhuowei and Chen, Lang and Zhang, Peng and He, Qian.
NeurIPS 2024. / PDF / Code
Lcm-lookahead for encoder-based text-to-image personalization
Gal, Rinon and Lichter, Or and Richardson, Elad and Patashnik, Or and Bermano, Amit H and Chechik, Gal and Cohen-Or, Daniel.
ECCV 2024. / PDF / Project / Code
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning
Chen, Weifeng and Zhang, Jiacheng and Wu, Jie and Wu, Hefeng and Xiao, Xuefeng and Lin, Liang.
Arxiv 2024. / PDF / Project / Code
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
Qinghe Wang, Baolu Li, Xiaomin Li, Bing Cao, Liqian Ma, Huchuan Lu, Xu Jia
Arxiv 2024. / PDF / Project / Code
Consistentid: Portrait generation with multimodal fine-grained identity preserving
Huang, Jiehui and Dong, Xiao and Song, Wenhui and Li, Hanhui and Zhou, Jun and Cheng, Yuhao and Liao, Shutao and Chen, Long and Yan, Yiqiang and Liao, Shengcai and {others}.
Arxiv 2024. / PDF / Project / Code
Face2Diffusion for Fast and Editable Face Personalization
Shiohara, Kaede and Yamasaki, Toshihiko.
CVPR 2024. / PDF / Project / Code
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm
Wu, Yi and Li, Ziqiang and Zheng, Heliang and Wang, Chaoyue and Li, Bin.
ECCV 2024. / PDF / Project
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models
Cui, Siying and Guo, Jia and An, Xiang and Deng, Jiankang and Zhao, Yongle and Wei, Xinyu and Feng, Ziyong.
CVPR 2024. / PDF
FlashFace: Human Image Personalization with High-fidelity Identity Preservation
Zhang, Shilong and Huang, Lianghua and Chen, Xi and Zhang, Yifei and Wu, Zhi-Fan and Feng, Yutong and Wang, Wei and Shen, Yujun and Liu, Yu and Luo, Ping.
Arxiv 2024. / PDF / Project / Code
Attention Calibration for Disentangled Text-to-Image Personalization
Zhang, Yanbing and Yang, Mengping and Zhou, Qin and Wang, Zhe.
CVPR 2024. / PDF / Code
Caphuman: Capture your moments in parallel universes
Liang, Chao and Ma, Fan and Zhu, Linchao and Deng, Yingying and Yang, Yi.
CVPR 2024. / PDF / Project / Code
Instantid: Zero-shot identity-preserving generation in seconds
Wang, Qixun and Bai, Xu and Wang, Haofan and Qin, Zekui and Chen, Anthony and Li, Huaxia and Tang, Xu and Hu, Yao.
Arxiv 2024. / PDF / Project / Code
Towards a simultaneous and granular identity-expression control in personalized face generation
Liu, Renshuai and Ma, Bowen and Zhang, Wei and Hu, Zhipeng and Fan, Changjie and Lv, Tangjie and Ding, Yu and Cheng, Xuan.
CVPR 2024. / PDF / Project
Stableidentity: Inserting anybody into anywhere at first sight
Wang, Qinghe and Jia, Xu and Li, Xiaomin and Li, Taiqing and Ma, Liqian and Zhuge, Yunzhi and Lu, Huchuan.
Arxiv 2024. / PDF / Project / Code
SeFi-IDE: Semantic-Fidelity Identity Embedding for Personalized Diffusion-Based Generation
Li, Yang and Yang, Songlin and Wang, Wei and Dong, Jing.
Arxiv 2024. / PDF / Project
Photomaker: Customizing realistic human photos via stacked id embedding
Li, Zhen and Cao, Mingdeng and Wang, Xintao and Qi, Zhongang and Cheng, Ming-Ming and Shan, Ying.
CVPR 2024. / PDF / Project / Code
Portraitbooth: A versatile portrait model for fast identity-preserved personalization
Peng, Xu and Zhu, Junwei and Jiang, Boyuan and Tai, Ying and Luo, Donghao and Zhang, Jiangning and Lin, Wei and Jin, Taisong and Wang, Chengjie and Ji, Rongrong.
CVPR 2024. / PDF / Project
Facestudio: Put your face everywhere in seconds
Yan, Yuxuan and Zhang, Chi and Wang, Rui and Zhou, Yichao and Zhang, Gege and Cheng, Pei and Yu, Gang and Fu, Bin.
Arxiv 2023. / PDF / Project / Code
Portrait diffusion: Training-free face stylization with chain-of-painting
Liu, Jin and Huang, Huaibo and Jin, Chao and He, Ran.
Arxiv 2023. / PDF / Code
When stylegan meets stable diffusion: a w+ adapter for personalized image generation
Li, Xiaoming and Hou, Xinyu and Loy, Chen Change.
CVPR 2024. / PDF / Project / Code
A data perspective on enhanced identity preservation for diffusion personalization
He, Xingzhe and Cao, Zhiwen and Kolkin, Nicholas and Yu, Lantao and Wan, Kun and Rhodin, Helge and Kalarot, Ratheesh.
WACV 2025. / PDF
High-fidelity Person-centric Subject-to-Image Synthesis
Wang, Yibin and Zhang, Weizhong and Zheng, Jianwei and Jin, Cheng.
CVPR 2024. / PDF / Code
Photoverse: Tuning-free image customization with text-to-image diffusion models
Chen, Li and Zhao, Mengyi and Liu, Yiheng and Ding, Mingxu and Song, Yangyang and Wang, Shizun and Wang, Xu and Yang, Hao and Liu, Jing and Du, Kang and {others}.
Arxiv 2023. / PDF / Project
Magicapture: High-resolution multi-concept portrait customization
Hyung, Junha and Shin, Jaeyo and Choo, Jaegul.
AAAI 2024. / PDF
Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models
Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Wei, Wei and Hou, Tingbo and Pritch, Yael and Wadhwa, Neal and Rubinstein, Michael and Aberman, Kfir.
CVPR 2024. / PDF / [Project](HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models)
Dreamidentity: Improved editability for efficient face-identity preserved image generation
Chen, Zhuowei and Fang, Shancheng and Liu, Wei and He, Qian and Huang, Mengqi and Zhang, Yongdong and Mao, Zhendong.
Arxiv 2023. / PDF / Project
Inserting anybody in diffusion models via celeb basis
Yuan, Ge and Cun, Xiaodong and Zhang, Yong and Li, Maomao and Qi, Chenyang and Wang, Xintao and Shan, Ying and Zheng, Huicheng.
NeurIPS 2023. / PDF / Project / Code
Face0: Instantaneously conditioning a text-to-image model on a face
Valevski, Dani and Lumen, Danny and Matias, Yossi and Leviathan, Yaniv.
SIGGRAPH Asia 2023. / PDF
Diffusion in diffusion: Cyclic one-way diffusion for text-vision-conditioned generation
Wang, Ruoyu and Yang, Yongqi and Qian, Zhihao and Zhu, Ye and Wu, Yu.
ICLR 2024. / PDF / Project / Code
Fastcomposer: Tuning-free multi-subject image generation with localized attention
Xiao, Guangxuan and Yin, Tianwei and Freeman, William T and Durand, Frédo and Han, Song.
Arxiv 2023. / PDF / Project / Code
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
He, Junjie and Tuo, Yuxiang and Chen, Binghui and Zhong, Chongyang and Geng, Yifeng and Bo, Liefeng.
Arxiv 2025. / PDF / Project
SerialGen: Personalized Image Generation by First Standardization Then Personalization
Xie, Cong and Zou, Han and Yu, Ruiqi and Zhang, Yan and Zhan, Zhenpeng.
Arxiv 2024. / PDF / Project
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
Zhang, Jinlu and Tang, Jiji and Zhang, Rongsheng and Lv, Tangjie and Sun, Xiaoshuai.
Arxiv 2024. / PDF / Code
Content-style disentangled representation for controllable artistic image stylization and generation
Zhuoqi, Ma and Yixuan, Zhang and Zejun, You and Long, Tian and Xiyang, Liu.
Arxiv 2024. / PDF
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Zhou, Zhengguang and Li, Jing and Li, Huaxia and Chen, Nemo and Tang, Xu.
Arxiv 2024. / PDF / Code
Dreamstory: Open-domain story visualization by llm-guided multi-subject consistent diffusion
He, Huiguo and Yang, Huan and Tuo, Zixi and Zhou, Yuan and Wang, Qiuyue and Zhang, Yuhang and Liu, Zeyu and Huang, Wenhao and Chao, Hongyang and Yin, Jian.
Arxiv 2024. / PDF / Project
Character-Adapter: Prompt-Guided Region Control for High-Fidelity Character Customization
Ma, Yuhang and Xu, Wenting and Tang, Jiji and Jin, Qinfeng and Zhang, Rongsheng and Zhao, Zeng and Fan, Changjie and Hu, Zhipeng.
https://character-adapter.github.io/. / PDF / Project
From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation
Huang, Zehuan and Fan, Hongxing and Wang, Lipeng and Sheng, Lu.
Arxiv 2024. / PDF / Project / Code
UniHuman: A Unified Model For Editing Human Images in the Wild
Li, Nannan and Liu, Qing and Singh, Krishna Kumar and Wang, Yilin and Zhang, Jianming and Plummer, Bryan A and Lin, Zhe.
CVPR 2024. / PDF / Code
Autostory: Generating diverse storytelling images with minimal human effort
Wang, Wen and Zhao, Canyu and Chen, Hao and Chen, Zhekai and Zheng, Kecheng and Shen, Chunhua.
Arxiv 2023. / PDF / Project / Code
Synthesizing coherent story with auto-regressive latent diffusion models
Pan, Xichen and Qin, Pengda and Li, Yuhong and Xue, Hui and Chen, Wenhu.
WACV 2024. / PDF / Code
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Avrahami, Omri and Hertz, Amir and Vinker, Yael and Arar, Moab and Fruchter, Shlomi and Fried, Ohad and Cohen-Or, Daniel and Lischinski, Dani.
SIGGRPAH 2024. / PDF / Project / Code
UnZipLoRA: Separating Content and Style from a Single Image
Liu, Chang and Shah, Viraj and Cui, Aiyu and Lazebnik, Svetlana.
Arxiv 2024. / PDF / Project
LoRA. rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Shenaj, Donald and Bohdal, Ondrej and Ozay, Mete and Zanuttigh, Pietro and Michieli, Umberto.
Arxiv 2024. / PDF
Style-Friendly SNR Sampler for Style-Driven Generation
Choi, Jooyoung and Shin, Chaehun and Oh, Yeongtak and Kim, Heeseung and Yoon, Sungroh.
Arxiv 2024. / PDF / Project
CSGO: Content-Style Composition in Text-to-Image Generation
Image, Style.
OpenReview 2024. / PDF
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
Zhang, Gong and Sohn, Kihyuk and Hahn, Meera and Shi, Humphrey and Essa, Irfan.
NeurIPS 2024. / PDF / Code
Customizing text-to-image models with a single image pair
Jones, Maxwell and Wang, Sheng-Yu and Kumari, Nupur and Bau, David and Zhu, Jun-Yan.
SIGGRAPH Asia 2024. / PDF / Project / Code
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Rout, Litu and Chen, Yujia and Ruiz, Nataniel and Kumar, Abhishek and Caramanis, Constantine and Shakkottai, Sanjay and Chu, Wen-Sheng.
Arxiv 2024. / PDF
Instantstyle: Free lunch towards style-preserving in text-to-image generation
Wang, Haofan and Spinelli, Matteo and Wang, Qixun and Bai, Xu and Qin, Zekui and Chen, Anthony.
Arxiv 2024. / PDF / Code
Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding
Park, Junseo and Ko, Beomseok and Jang, Hyeryung.
Arxiv 2024. / PDF
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
Li, Likun and Zeng, Haoqi and Yang, Changpeng and Jia, Haozhe and Xu, Di.
Arxiv 2024. / PDF
Break-for-make: Modular low-rank adaptations for composable content-style customization
Xu, Yu and Tang, Fan and Cao, Juan and Zhang, Yuxin and Deussen, Oliver and Dong, Weiming and Li, Jintao and Lee, Tong-Yee.
Arxiv 2024. / PDF
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
Wu, You and Liu, Kean and Mi, Xiaoyue and Tang, Fan and Cao, Juan and Li, Jintao.
CVPR 2024. / PDF / Code
Implicit style-content separation using b-lora
Frenkel, Yarden and Vinker, Yael and Shamir, Ariel and Cohen-Or, Daniel.
ECCV 2024. / PDF / Project / Code
ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
Chen, Dar-Yen and Tennent, Hamish and Hsu, Ching-Wen.
CVPR 2024. / PDF / Project / Code
Style aligned image generation via shared attention
Hertz, Amir and Voynov, Andrey and Fruchter, Shlomi and Cohen-Or, Daniel.
CVPR 2024. / PDF / Project / Code
Ziplora: Any subject in any style by effectively merging loras
Shah, Viraj and Ruiz, Nataniel and Cole, Forrester and Lu, Erika and Lazebnik, Svetlana and Li, Yuanzhen and Jampani, Varun.
ECCV 2024. / PDF / Project
StyleBoost: A Study of Personalizing Text-to-Image Generation in Any Style using DreamBooth
Park, Junseo and Ko, Beomseok and Jang, Hyeryung.
ICTC 2023. / PDF
StyleAdapter: A Unified Stylized Image Generation Model
Wang, Zhouxia and Wang, Xintao and Xie, Liangbin and Qi, Zhongang and Shan, Ying and Wang, Wenping and Luo, Ping.
IJCV 2024. / PDF
Styledrop: Text-to-image generation in any style
Sohn, Kihyuk and Ruiz, Nataniel and Lee, Kimin and Chin, Daniel Castro and Blok, Irina and Chang, Huiwen and Barber, Jarred and Jiang, Lu and Entis, Glenn and Li, Yuanzhen.
NeurIPS 2023. / PDF / Project
Inversion-based style transfer with diffusion models
Zhang, Yuxin and Huang, Nisha and Tang, Fan and Huang, Haibin and Ma, Chongyang and Dong, Weiming and Xu, Changsheng.
CVPR 2023. / PDF / Code
Event-Customized Image Generation
Wang, Zhen and Jiang, Yilei and Zheng, Dong and Xiao, Jun and Chen, Long.
Arxiv 2024. / PDF
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models
Kothandaraman, Divya and Kulkarni, Kuldeep and Shekhar, Sumit and Srinivasan, Balaji Vasan and Manocha, Dinesh.
Arxiv 2024. / PDF / Code
Customizing Text-to-Image Generation with Inverted Interaction
Mengmeng Ge, Xu Jia, Takashi Isobe, Xiaomin Li, Qinghe Wang, Jing Mu, Dong Zhou, liwang Amd, Huchuan Lu, Lu Tian, Ashish Sirasao, Emad Barsoum
ACM MM 2024. / PDF
Lego: Learning to disentangle and invert concepts beyond object appearance in text-to-image diffusion models
Motamed, Saman and Paudel, Danda Pani and Van Gool, Luc.
ECCV 2024. / PDF
Learning disentangled identifiers for action-customized text-to-image generation
Huang, Siteng and Gong, Biao and Feng, Yutong and Chen, Xi and Fu, Yuqian and Liu, Yu and Wang, Donglin.
CVPR 2024. / PDF / Project
ReVersion: Diffusion-based relation inversion from images
Huang, Ziqi and Wu, Tianxing and Jiang, Yuming and Chan, Kelvin CK and Liu, Ziwei.
SIGGRAPH Asia 2024. / PDF / Project / Code
Multitwine: Multi-Object Compositing with Text and Layout Control
Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang, He Zhang, Andrew Gilbert, John Collomosse, Soo Ye Kim
Arxiv 2025. / PDF
Cached Multi-Lora Composition for Multi-Concept Image Generation
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
ICLR 2025. / PDF
Object-level Visual Prompts for Compositional Image Generation
Parmar, Gaurav and Patashnik, Or and Wang, Kuan-Chieh and Ostashev, Daniil and Narasimhan, Srinivasa and Zhu, Jun-Yan and Cohen-Or, Daniel and Aberman, Kfir.
Arxiv 2025. / PDF / Project
TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space
Garibi, Daniel and Yadin, Shahar and Paiss, Roni and Tov, Omer and Zada, Shiran and Ephrat, Ariel and Michaeli, Tomer and Mosseri, Inbar and Dekel, Tali.
Arxiv 2025. / PDF / Project
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention
He, Huiguo and Wang, Qiuyue and Zhou, Yuan and Cai, Yuxuan and Chao, Hongyang and Yin, Jian and Yang, Huan.
Arxiv 2024. / PDF
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion
Kim, Gwanghyun and Jeon, Suh Yoon and Lee, Seunggyu and Chun, Se Young.
Arxiv 2024. / PDF / Project / Code
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
Zhou, Donghao and Huang, Jiancheng and Bai, Jinbin and Wang, Jiaze and Chen, Hao and Chen, Guangyong and Hu, Xiaowei and Heng, Pheng-Ann.
Arxiv 2024. / PDF / Project / Code
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
Dong, Jiahua and Liang, Wenqi and Li, Hongliu and Zhang, Duzhen and Cao, Meng and Ding, Henghui and Khan, Salman and Khan, Fahad Shahbaz.
NeurIPS 2024. / PDF / Code
RelationBooth: Towards Relation-Aware Customized Object Generation
Shi, Qingyu and Qi, Lu and Wu, Jianzong and Bai, Jinbin and Wang, Jingbo and Tong, Yunhai and Li, Xiangtai and Yang, Ming-Husang.
Arxiv 2024. / PDF / Project
GroundingBooth: Grounding Text-to-Image Customization
Xiong, Zhexiao and Xiong, Wei and Shi, Jing and Zhang, He and Song, Yizhi and Jacobs, Nathan.
Arxiv 2024. / PDF / Project
MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Personalization, Single-subject.
OpenReview 2024. / PDF
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Yao, Zebin and Feng, Fangxiang and Li, Ruifan and Wang, Xiaojie.
Arxiv 2024. / PDF / Project / Code
Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation
Liu, Shengyuan and Wang, Bo and Ma, Ye and Yang, Te and Cao, Xipeng and Chen, Quan and Li, Han and Dong, Di and Jiang, Peng.
Arxiv 2024. / PDF
Multi-Subject Personalization
Jain, Arushi and Paliwal, Shubham and Sharma, Monika and Jamwal, Vikram and Vig, Lovekesh.
NeurIPS 2023. / PDF
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
Ding, Ganggui and Zhao, Canyu and Wang, Wen and Yang, Zhen and Liu, Zide and Chen, Hao and Shen, Chunhua.
CVPR 2024. / PDF / Project / Code
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
Jang, Sangwon and Jo, Jaehyeong and Lee, Kimin and Hwang, Sung Ju.
NeurIPS 2024. / PDF / Project / Code
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Kwon, Gihyun and Jenni, Simon and Li, Dingzeyu and Lee, Joon-Young and Ye, Jong Chul and Heilbron, Fabian Caba.
CVPR 2024. / PDF
MC$^2$: Multi-concept Guidance for Customized Multi-concept Generation
Jiang, Jiaxiu and Zhang, Yabo and Feng, Kailai and Wu, Xiaohe and Zuo, Wangmeng.
Arxiv 2024. / PDF / Code
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models
Yang, Yang and Wang, Wen and Peng, Liang and Song, Chaotian and Chen, Yao and Li, Hengjia and Yang, Xiaolong and Lu, Qinglin and Cai, Deng and Wu, Boxi and {others}.
Arxiv 2024. / PDF / Project / Code
Omg: Occlusion-friendly personalized multi-concept generation in diffusion models
Kong, Zhe and Zhang, Yong and Yang, Tianyu and Wang, Tao and Zhang, Kaihao and Wu, Bizhu and Chen, Guanying and Liu, Wei and Luo, Wenhan.
ECCV 2024. / PDF / Project / Code
Patel, Maitreya and Jung, Sangmin and Baral, Chitta and Yang, Yezhou.
Arxiv 2024. / PDF / Project / Code
Compositional inversion for stable diffusion models
Zhang, Xulu and Wei, Xiao-Yong and Wu, Jinlin and Zhang, Tianyi and Zhang, Zhaoxiang and Lei, Zhen and Li, Qing.
AAAI 2024. / PDF / Code
Customizable image synthesis with multiple subjects
Liu, Zhiheng and Zhang, Yifei and Shen, Yujun and Zheng, Kecheng and Zhu, Kai and Feng, Ruili and Liu, Yu and Zhao, Deli and Zhou, Jingren and Cao, Yang.
NeurIPS 2023. / PDF / Project / Code
Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models
Gu, Yuchao and Wang, Xintao and Wu, Jay Zhangjie and Shi, Yujun and Chen, Yunpeng and Fan, Zihan and Xiao, Wuyou and Zhao, Rui and Chang, Shuning and Wu, Weijia and {others}.
NeurIPS 2023. / PDF / Code
Multi-concept customization of text-to-image diffusion
Kumari, Nupur and Zhang, Bingliang and Zhang, Richard and Shechtman, Eli and Zhu, Jun-Yan.
CVPR 2023. / PDF / Project / Code
Phantom: Subject-consistent video generation via cross-modal alignment
Lijie Liu, Tianxiang Ma, Bingchuan Li, Zhuowei Chen, Jiawei Liu, Qian He, Xinglong Wu
Arxiv 2025. / PDF / Project / Code
CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers
D. She, Mushui Liu, Jingxuan Pang, Jin Wang, Zhen Yang, Wanggui He, Guanghao Zhang, Yi Wang, Qihan Huang, Haobin Tang, Yunlong Yu, Siming Fu
Arxiv 2025. / PDF / Project / Code
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts
Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu
Arxiv 2025. / PDF / Project
DIVE: Taming DINO for Subject-Driven Video Editing
Yi Huang, Wei Xiong, He Zhang, Chaoqi Chen, Jianzhuang Liu, Mingfu Yan, Shifeng Chen
Arxiv 2024. / PDF / Project
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models
Xiaomin Li, Xu Jia, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu
Arxiv 2024. / PDF / Code
PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation
Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, Deng Cai
Arxiv 2024. / PDF / Project / Code
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation
Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal
Arxiv 2024. / PDF / Project / Code
DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control
Yujie Wei, Shiwei Zhang, Hangjie Yuan, Xiang Wang, Haonan Qiu, Rui Zhao, Yutong Feng, Feng Liu, Zhizhong Huang, Jiaxin Ye, Yingya Zhang, Hongming Shan
Arxiv 2024. / PDF / Project
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
Tao Wu, Yong Zhang, Xintao Wang, Xianpan Zhou, Guangcong Zheng, Zhongang Qi, Ying Shan, Xi Li
AAAI 2025. / PDF / Project / Code
Text Prompting for Multi-Concept Video Customization by Autoregressive Generation
Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh
CVPR 2024 AI4CC Workshop. / PDF
DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control
Hong Chen, Xin Wang, Yipeng Zhang, Yuwei Zhou, Zeyang Zhang, Siao Tang, Wenwu Zhu
Arxiv 2024. / PDF / Project
Magic-Me: Identity-Specific Video Customized Diffusion
Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
Arxiv 2024. / PDF / Project / Code
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Zhao Wang, Aoxue Li, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li
Arxiv 2024. / PDF / Project
VideoBooth: Diffusion-based Video Generation with Image Prompts
Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu
CVPR 2024. / PDF / Project / Code
Pia: Your personalized image animator via plug-and-play modules in text-to-image models
Zhang, Yiming and Xing, Zhening and Zeng, Yanhong and Fang, Youqing and Chen, Kai.
CVPR 2024. / PDF / Project / Code
A Unified Approach for Text- and Image-guided 4D Scene Generation
Yufeng Zheng, Xueting Li, Koki Nagano, Sifei Liu, Karsten Kreis, Otmar Hilliges, Shalini De Mello
CVPR 2024. / PDF / Project / Code
Animate124: Animating One Image to 4D Dynamic Scene
Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
Arxiv 2023. / PDF / Project / Code
Chasing Consistency in Text-to-3D Generation from a Single Image
Yichen Ouyang, Wenhao Chai, Jiayi Ye, Dapeng Tao, Yibing Zhan, Gaoang Wang
Arxiv 2023. / PDF
DreamBooth3D: Subject-Driven Text-to-3D Generation
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, Yuanzhen Li, Varun Jampani
ICCV 2023. / PDF / Project
Stable Flow: Vital Layers for Training-Free Image Editing
Avrahami, Omri and Patashnik, Or and Fried, Ohad and Nemchinov, Egor and Aberman, Kfir and Lischinski, Dani and Cohen-Or, Daniel.
Arxiv 2024. / PDF / Project
HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads
Xu, Yu and Tang, Fan and Cao, Juan and Zhang, Yuxin and Kong, Xiaoyu and Li, Jintao and Deussen, Oliver and Lee, Tong-Yee.
Arxiv 2024. / PDF / Project / Code
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
Xu, Pengcheng and Jiang, Boyuan and Hu, Xiaobin and Luo, Donghao and He, Qingdong and Zhang, Jiangning and Wang, Chengjie and Wu, Yunsheng and Ling, Charles and Wang, Boyu.
Arxiv 2024. / PDF / Project / Code
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models
Dalva, Yusuf and Yesiltepe, Hidir and Yanardag, Pinar.
Arxiv 2024. / PDF / Project
Ledits++: Limitless image editing using text-to-image models
Brack, Manuel and Friedrich, Felix and Kornmeier, Katharia and Tsaban, Linoy and Schramowski, Patrick and Kersting, Kristian and Passos, Apolinário.
CVPR 2024. / PDF / Project / Code
An edit friendly ddpm noise space: Inversion and manipulations
Huberman-Spiegelglas, Inbar and Kulikov, Vladimir and Michaeli, Tomer.
CVPR 2024. / PDF / Project / Code
Delta denoising score
Hertz, Amir and Aberman, Kfir and Cohen-Or, Daniel.
ICCV 2023. / PDF / Project / Code
Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Cao, Mingdeng and Wang, Xintao and Qi, Zhongang and Shan, Ying and Qie, Xiaohu and Zheng, Yinqiang.
ICCV 2023. / PDF / Project / Code
Null-text inversion for editing real images using guided diffusion models
Mokady, Ron and Hertz, Amir and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel.
CVPR 2023. / PDF / Project / Code
Prompt-to-prompt image editing with cross attention control
Hertz, Amir and Mokady, Ron and Tenenbaum, Jay and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel.
ICLR 2023. / PDF / Project / Code
Blended Latent Diffusion
Avrahami, Omri and Fried, Ohad and Lischinski, Dani.
SIGGRAPH 2023. / PDF / Project / Code
Blended Diffusion: Text-driven Editing of Natural Images
Avrahami, Omri and Lischinski, Dani and Fried, Ohad.
CVPR 2022. / PDF / Project / Code
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance
Wang, Chunwei and Lu, Guansong and Yang, Junwei and Huang, Runhui and Han, Jianhua and Hou, Lu and Zhang, Wei and Xu, Hang.
Arxiv 2024. / PDF
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
Tong, Shengbang and Fan, David and Zhu, Jiachen and Xiong, Yunyang and Chen, Xinlei and Sinha, Koustuv and Rabbat, Michael and LeCun, Yann and Xie, Saining and Liu, Zhuang.
Arxiv 2024. / PDF / Project
Liquid: Language Models are Scalable Multi-modal Generators
Wu, Junfeng and Jiang, Yi and Ma, Chuofan and Liu, Yuliang and Zhao, Hengshuang and Yuan, Zehuan and Bai, Song and Bai, Xiang.
Arxiv 2024. / PDF / Code
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
Sun, Zeyi and Chu, Ziyang and Zhang, Pan and Wu, Tong and Dong, Xiaoyi and Zang, Yuhang and Xiong, Yuanjun and Lin, Dahua and Wang, Jiaqi.
Arxiv 2024. / PDF / Code
Puma: Empowering unified mllm with multi-granular visual generation
Fang, Rongyao and Duan, Chengqi and Wang, Kun and Li, Hao and Tian, Hao and Zeng, Xingyu and Zhao, Rui and Dai, Jifeng and Li, Hongsheng and Liu, Xihui.
Arxiv 2024. / PDF / Project / Code
Emu3: Next-token prediction is all you need
Wang, Xinlong and Zhang, Xiaosong and Luo, Zhengxiong and Sun, Quan and Cui, Yufeng and Wang, Jinsheng and Zhang, Fan and Wang, Yueze and Li, Zhen and Yu, Qiying and {others}.
Arxiv 2024. / PDF / Project / Code
Chameleon: Mixed-modal early-fusion foundation models
Team, Chameleon.
Arxiv 2024. / PDF
Seed-x: Multimodal models with unified multi-granularity comprehension and generation
Ge, Yuying and Zhao, Sijie and Zhu, Jinguo and Ge, Yixiao and Yi, Kun and Song, Lin and Li, Chen and Ding, Xiaohan and Shan, Ying.
Arxiv 2024. / PDF / Code
Generative multimodal models are in-context learners
Sun, Quan and Cui, Yufeng and Zhang, Xiaosong and Zhang, Fan and Yu, Qiying and Wang, Yueze and Rao, Yongming and Liu, Jingjing and Huang, Tiejun and Wang, Xinlong.
CVPR 2024. / PDF / Project / Code
Next-gpt: Any-to-any multimodal llm
Wu, Shengqiong and Fei, Hao and Qu, Leigang and Ji, Wei and Chua, Tat-Seng.
ICML 2024. / PDF / Project / Code
Emu: Generative pretraining in multimodality
Sun, Quan and Yu, Qiying and Cui, Yufeng and Zhang, Fan and Zhang, Xiaosong and Wang, Yueze and Gao, Hongcheng and Liu, Jingjing and Huang, Tiejun and Wang, Xinlong.
ICLR 2024. / PDF / Code
Spatially-adaptive multilayer selection for gan inversion and editing
Parmar, Gaurav and Li, Yijun and Lu, Jingwan and Zhang, Richard and Zhu, Jun-Yan and Singh, Krishna Kumar.
CVPR 2022. / PDF / Project / Code
Mystyle: A personalized generative prior
Nitzan, Yotam and Aberman, Kfir and He, Qiurui and Liba, Orly and Yarom, Michal and Gandelsman, Yossi and Mosseri, Inbar and Pritch, Yael and Cohen-Or, Daniel.
SIGGRAPH ASIA 2022. / PDF / Project / Code
Style transformer for image inversion and editing
Hu, Xueqi and Huang, Qiusheng and Shi, Zhengyi and Li, Siyuan and Gao, Changxin and Sun, Li and Li, Qingli.
CVPR 2022. / PDF / Code
Near perfect gan inversion
Feng, Qianli and Shah, Viraj and Gadde, Raghudeep and Perona, Pietro and Martinez, Aleix.
Arxiv 2022. / PDF
Hyperinverter: Improving stylegan inversion via hypernetwork
Dinh, Tan M and Tran, Anh Tuan and Nguyen, Rang and Hua, Binh-Son.
CVPR 2022. / PDF / Project / Code
High-fidelity gan inversion for image attribute editing
Wang, Tengfei and Zhang, Yong and Fan, Yanbo and Wang, Jue and Chen, Qifeng.
CVPR 2022. / PDF / Project / Code
Gan inversion for out-of-range images with geometric transformations
Kang, Kyoungkook and Kim, Seongtae and Cho, Sunghyun.
ICCV 2021. / PDF / Project / Code
Pivotal tuning for latent-based editing of real images
Roich, Daniel and Mokady, Ron and Bermano, Amit H and Cohen-Or, Daniel.
ACM TOG 2022. / PDF / Code
E2Style: Improve the efficiency and effectiveness of StyleGAN inversion
Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Zhang, Weiming and Yuan, Lu and Hua, Gang and Yu, Nenghai.
TIP 2022. / PDF / Code
Restyle: A residual-based stylegan encoder via iterative refinement
Alaluf, Yuval and Patashnik, Or and Cohen-Or, Daniel.
ICCV 2021. / PDF / Project / Code
Ensembling with deep generative views
Chai, Lucy and Zhu, Jun-Yan and Shechtman, Eli and Isola, Phillip and Zhang, Richard.
CVPR 2021. / PDF / Project / Code
Designing an encoder for stylegan image manipulation
Tov, Omer and Alaluf, Yuval and Nitzan, Yotam and Patashnik, Or and Cohen-Or, Daniel.
SIGGRAPH 2021. / PDF / Code
Improved stylegan embedding: Where are the good latents?
Zhu, Peihao and Abdal, Rameen and Qin, Yipeng and Femiani, John and Wonka, Peter.
Arxiv 2020. / PDF
Style intervention: How to achieve spatial disentanglement with style-based generators?
Liu, Yunfan and Li, Qi and Sun, Zhenan and Tan, Tieniu.
Arxiv 2020. / PDF
Encoding in style: a stylegan encoder for image-to-image translation
Richardson, Elad and Alaluf, Yuval and Patashnik, Or and Nitzan, Yotam and Azar, Yaniv and Shapiro, Stav and Cohen-Or, Daniel.
CVPR 2021. / PDF / Project / Code
In-domain gan inversion for real image editing
Zhu, Jiapeng and Shen, Yujun and Zhao, Deli and Zhou, Bolei.
ECCV 2020. / PDF / Project / Code
Image2stylegan++: How to edit the embedded images?
Abdal, Rameen and Qin, Yipeng and Wonka, Peter.
CVPR 2020. / PDF
Inverting layers of a large generator
Bau, David and Zhu, Jun-Yan and Wulff, Jonas and Peebles, William and Strobelt, Hendrik and Zhou, Bolei and Torralba, Antonio.
ICLR 2019. / PDF
Image2stylegan: How to embed images into the stylegan latent space?
Abdal, Rameen and Qin, Yipeng and Wonka, Peter.
ICCV 2019. / PDF
Invertibility of convolutional generative networks from partial measurements
Ma, Fangchang and Ayaz, Ulas and Karaman, Sertac.
NIPS 2018. / PDF / Code
Inverting the generator of a generative adversarial network
Creswell, Antonia and Bharath, Anil Anthony.
IEEE TNNLS 2019. / PDF / Code
Solving linear inverse problems using gan priors: An algorithm with provable guarantees
Shah, Viraj and Hegde, Chinmay.
IEEE ICASSP 2018. / PDF
Precise recovery of latent vectors from generative adversarial networks
Lipton, Zachary C and Tripathi, Subarna.
ICLR 2017. / PDF
Generative visual manipulation on the natural image manifold
Zhu, Jun-Yan and Krähenbühl, Philipp and Shechtman, Eli and Efros, Alexei A.
ECCV 2016. / PDF / Project / Code
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, Alec.
ICLR 2016. / PDF
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
Anees, Abdul Basit and Baykal, Ahmet Canberk and Kizil, Muhammed Burak and Ceylan, Duygu and Erdem, Erkut and Erdem, Aykut.
SIGGRAPH Asia 2024. / PDF / Project / Code
Edit One for All: Interactive Batch Image Editing
Nguyen, Thao and Ojha, Utkarsh and Li, Yuheng and Liu, Haotian and Lee, Yong Jae.
CVPR 2024. / PDF / Project / Code
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
Zhang, Hai and Wu, Chunwei and Cao, Guitao and Wang, Hailing and Cao, Wenming.
AAAI 2024. / PDF
Warping the residuals for image editing with stylegan
Yildirim, Ahmet Burak and Pehlivan, Hamza and Dundar, Aysegul.
Arxiv 2023. / PDF
Exploring Attribute Variations in Style-based GANs using Diffusion Models
Parihar, Rishubh and Balaji, Prasanna and Magazine, Raghav and Vora, Sarthak and Karmali, Tejan and Jampani, Varun and Babu, R Venkatesh.
NeurIPS 2023. / PDF
Revisiting Latent Space of GAN Inversion for Real Image Editing
Katsumata, Kai and Vo, Duc Minh and Liu, Bei and Nakayama, Hideki.
WACV 2024. / PDF
StylePrompter: All Styles Need Is Attention
Zhuang, Chenyi and Gao, Pan and Smolic, Aljosa.
ACM MM 2023. / PDF / Code
CLIP-guided StyleGAN Inversion for Text-driven Real Image Editing
Baykal, Ahmet Canberk and Anees, Abdul Basit and Ceylan, Duygu and Erdem, Erkut and Erdem, Aykut and Yuret, Deniz.
ACM TOG 2023. / PDF / Project / Code
Drag your gan: Interactive point-based manipulation on the generative image manifold
Pan, Xingang and Tewari, Ayush and Leimkühler, Thomas and Liu, Lingjie and Meka, Abhimitra and Theobalt, Christian.
SIGGRAPH 2023. / PDF / Project / Code
Deltaedit: Exploring text-free training for text-driven image manipulation
Lyu, Yueming and Lin, Tianwei and Li, Fu and He, Dongliang and Dong, Jing and Tan, Tieniu.
CVPR 2023. / PDF / Code
One model to edit them all: Free-form text-driven image manipulation with semantic modulations
Zhu, Yiming and Liu, Hongyu and Song, Yibing and Yuan, Ziyang and Han, Xintong and Yuan, Chun and Chen, Qifeng and Wang, Jue.
NeurIPS 2022. / PDF / Code
Bridging clip and stylegan through latent alignment for image editing
Zheng, Wanfeng and Li, Qiang and Guo, Xiaoyan and Wan, Pengfei and Wang, Zhongyuan.
Arxiv 2022. / PDF
clip2latent: Text driven sampling of a pre-trained stylegan using denoising diffusion and clip
Pinkney, Justin NM and Li, Chuan.
BMVC 2022. / PDF / Code
CLIP-PAE: projection-augmentation embedding to extract relevant features for a disentangled, interpretable and controllable text-guided face manipulation
Zhou, Chenliang and Zhong, Fangcheng and Öztireli, Cengiz.
SIGGRAPH 2023. / PDF / Project / Code
Rewriting geometric rules of a GAN.
Wang, Sheng-Yu and Bau, David and Zhu, Jun-Yan.
SIGGRAPH 2022. / PDF / Project / Code
Towards diverse and faithful one-shot adaption of generative adversarial networks
Zhang, Yabo and Yao, Mingshuai and Wei, Yuxiang and Ji, Zhilong and Bai, Jinfeng and Zuo, Wangmeng and {others}.
NeurIPS 2022. / PDF / Code
Contraclip: Interpretable gan generation driven by pairs of contrasting sentences
Tzelepis, Christos and Oldfield, James and Tzimiropoulos, Georgios and Patras, Ioannis.
Arxiv 2022. / PDF / Code
Stylemc: Multi-channel based fast text-guided image generation and manipulation
Kocasari, Umut and Dirik, Alara and Tiftikci, Mert and Yanardag, Pinar.
WACV 2022. / PDF / Project / Code
Hairclip: Design your hair by text and reference image
Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Tan, Zhentao and Yuan, Lu and Zhang, Weiming and Yu, Nenghai.
CVPR 2022. / PDF / Code
Hyperstyle: Stylegan inversion with hypernetworks for real image editing
Alaluf, Yuval and Tov, Omer and Mokady, Ron and Gal, Rinon and Bermano, Amit.
CVPR 2022. / PDF / Project / Code
One-shot generative domain adaptation
Yang, Ceyuan and Shen, Yujun and Zhang, Zhiyi and Xu, Yinghao and Zhu, Jiapeng and Wu, Zhirong and Zhou, Bolei.
ICCV 2023. / PDF / Project / Code
Editgan: High-precision semantic image editing
Ling, Huan and Kreis, Karsten and Li, Daiqing and Kim, Seung Wook and Torralba, Antonio and Fidler, Sanja.
NeurIPS 2021. / PDF / Project / Code
Predict, prevent, and evaluate: Disentangled text-driven image manipulation empowered by pre-trained vision-language model
Xu, Zipeng and Lin, Tianwei and Tang, Hao and Li, Fu and He, Dongliang and Sebe, Nicu and Timofte, Radu and Van Gool, Luc and Ding, Errui.
CVPR 2022. / PDF / Code
Mind the gap: Domain gap control for single shot domain adaptation for generative adversarial networks
Zhu, Peihao and Abdal, Rameen and Femiani, John and Wonka, Peter.
ICLR 2022. / PDF / Project / Code
Warpedganspace: Finding non-linear rbf paths in gan latent space
Tzelepis, Christos and Tzimiropoulos, Georgios and Patras, Ioannis.
ICCV 2021. / PDF / Code
Stylegan-nada: Clip-guided domain adaptation of image generators
Gal, Rinon and Patashnik, Or and Maron, Haggai and Bermano, Amit H and Chechik, Gal and Cohen-Or, Daniel.
ACM TOG 2022. / PDF / Project / Code
Styleclip: Text-driven manipulation of stylegan imagery
Patashnik, Or and Wu, Zongze and Shechtman, Eli and Cohen-Or, Daniel and Lischinski, Dani.
ICCV 2021. / PDF / Code
The geometry of deep generative image models and its applications
Wang, Binxu and Ponce, Carlos R.
ICLR 2021. / PDF
Hijack-gan: Unintended-use of pretrained, black-box gans
Wang, Hui-Po and Yu, Ning and Fritz, Mario.
CVPR 2021. / PDF / Code
Stylespace analysis: Disentangled controls for stylegan image generation
Wu, Zongze and Lischinski, Dani and Shechtman, Eli.
CVPR 2021. / PDF
Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows
Abdal, Rameen and Zhu, Peihao and Mitra, Niloy J and Wonka, Peter.
ACM TOG 2021. / PDF / Project / Code
The hessian penalty: A weak prior for unsupervised disentanglement
Peebles, William and Peebles, John and Zhu, Jun-Yan and Efros, Alexei and Torralba, Antonio.
ECCV 2020. / PDF / Project / Code
Closed-form factorization of latent semantics in gans
Shen, Yujun and Zhou, Bolei.
CVPR 2021. / PDF / Project / Code
Interfacegan: Interpreting the disentangled face representation learned by gans
Shen, Yujun and Yang, Ceyuan and Tang, Xiaoou and Zhou, Bolei.
CVPR 2020. / PDF / Project / Code
Ganspace: Discovering interpretable gan controls
Härkönen, Erik and Hertzmann, Aaron and Lehtinen, Jaakko and Paris, Sylvain.
NeurIPS 2020. / PDF / Code
Stylegan2 distillation for feed-forward image manipulation
Viazovetskyi, Yuri and Ivashkin, Vladimir and Kashin, Evgeny.
ECCV 2020. / PDF / Code
Unsupervised discovery of interpretable directions in the gan latent space
Voynov, Andrey and Babenko, Artem.
ICML 2020. / PDF / Code
A spectral regularizer for unsupervised disentanglement
Ramesh, Aditya and Choi, Youngduck and LeCun, Yann.
Arxiv 2018. / PDF
Image Inversion: A Survey from GANs to Diffusion and Beyond
Yinan Chen, Jiangning Zhang, Yali Bi, Xiaobin Hu, Teng Hu, Zhucun Xue, Ran Yi, Yong Liu, Ying Tai
Arxiv 2025. / PDF / Code
Conditional Image Synthesis with Diffusion Models: A Survey
Zhan, Zheyuan and Chen, Defang and Mei, Jian-Ping and Zhao, Zhenghe and Chen, Jiawei and Chen, Chun and Lyu, Siwei and Wang, Can.
Arxiv 2024. / PDF / Code
A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models
Shuai, Xincheng and Ding, Henghui and Ma, Xingjun and Tu, Rongcheng and Jiang, Yu-Gang and Tao, Dacheng.
Arxiv 2024. / PDF / Code
A Survey on Personalized Content Synthesis with Diffusion Models
Zhang, Xulu and Wei, Xiao-Yong and Zhang, Wengyu and Wu, Jinlin and Zhang, Zhaoxiang and Lei, Zhen and Li, Qing.
Arxiv 2024. / PDF
Controllable generation with text-to-image diffusion models: A survey
Cao, Pu and Zhou, Feng and Song, Qing and Yang, Lu.
Arxiv 2024. / PDF / Code
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Ming Liu, Yuxiang Wei, Xiaohe Wu, Wangmeng Zuo, Lei Zhang
SCIS. / PDF / Code
GAN Inversion: A Survey
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang
TPAMI 2022. / PDF / Code