Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
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May 13, 2023 - Python
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blind-super-resolution
Here are 13 public repositories matching this topic...
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
super-resolution image-super-resolution kernel-estimation blind-super-resolution cvpr2021 image-sr blind-sr
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Sep 19, 2021 - Python
This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023
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Apr 15, 2024 - Python
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
deep-neural-networks deep-learning image-processing cnn pytorch python2 deep-network python27 super-resolution pytorch-cnn low-level-vision cnn-pytorch blind-super-resolution
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Jan 20, 2023 - Python
Official PyTorch Implementation of "StarSRGAN: Improving Real-World Blind Super-Resolution" (WSCG 2023)
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Oct 11, 2024 - Python
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].
computer-vision deep-learning instrumentation ieee segmentation measurement super-resolution cssr defect-detection joint-learning peer-reviewed crack-segmentation blind-super-resolution csbsr
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May 14, 2024 - Python
Open source image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art deep learning models. Also acts as the companion code for the MDPI Sensors journal paper titled 'The Best of Both Worlds: A Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks'
python gui framework deep-learning pytorch convolutional-neural-networks super-resolution image-restoration contrastive-learning blind-super-resolution meta-attention
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Oct 23, 2023 - Python
This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
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Jun 9, 2023 - Python
Blind Super Resolution based on USRNet and Kernel GAN
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Oct 21, 2020 - Python
A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.
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Nov 20, 2022 - Python
Implementation of "Pixel-level Kernel Estimation for Blind Super-Resolution", IEEE Access 2021.
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Nov 24, 2021 - Python
IKC: Blind Super-Resolution With Iterative Kernel Correction
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Mar 14, 2023 - Python
When photographing a light source with a smartphone camera, light smudging often occurs. Our model contributes to improving the image quality degraded by the spread of light around the light source.
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Aug 17, 2021 - Python
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