There are 37 repositories under image-restoration topic.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Collection of popular and reproducible image denoising works.
SwinIR: Image Restoration Using Swin Transformer (official repository)
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
AI无损放大工具
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
A Tensorflow implementation of RetinexNet
Code for deep generative prior (ECCV2020 oral)
[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
TensorFlow JS models for MIRNet for low-light💡 image enhancement
Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction" (CVPR 2022) and a Baseline for Spectral Compressive Imaging including our work HDNet, CST, and DAUHST
Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a Baseline for Spectral Reconstruction
Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)
CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
A Collection of Papers and Codes in CVPR2022 about low level vision