[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
Official repository of ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
Official PyTorch implementation of the paper "CoVR: Learning Composed Video Retrieval from Web Video Captions".
Official Pytorch implementation of "CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion" (TMLR 2024)
[ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset
[BMVC 2023] Zero-shot Composed Text-Image Retrieval
Official PyTorch implementation of the WACV 2025 paper "Composed Image Retrieval for Training-FREE DOMain Conversion".
[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
text-only training or language-free training for multimodal tasks (image/audio/video caption, retrieval, text2image)
Official repository of the LaSCo dataset
A multimodal image search engine built on the GME model, capable of handling diverse input types. Whether you're querying with text, images, or both, provides powerful and flexible image retrieval under arbitrary inputs. Perfect for research and demos.
Training-free Zero-shot Composed Image Retrieval via Weighted Modality Fusion and Similarity (TAAI 2024)
Final project for the MVA "Object Recognition and Computer Vision" class, 2023-2024.
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