#Image-restoration
Showing 43 of 43 repositories tagged #image-restoration, ranked by stars
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)
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
Collection of popular and reproducible image denoising works.
A Collection of Papers and Codes for CVPR2026/CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
[NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!
A Tensorflow implementation of RetinexNet
[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
Restoration for TEMPEST images using deep-learning
AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!
[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
Contrast Enhancement Techniques for low-light images
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
Code for deep generative prior (ECCV2020 oral)
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)
A Collection of Papers and Codes for ECCV2026/ECCV2024/ECCV2020 Low Level Vision
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Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution [PyTorch]
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)
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[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur
A Collection of Low Level Vision Research Groups
Deep learning training framework for image super resolution and restoration.
Compound Multi-branch Feature Fusion for Real Image Restoration
(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)
PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).
[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
This is the official PyTorch implementation of DehazeDCT. Our method achieves the second best performance in NTIRE 2024 Dense and NonHomogeneous Dehazing Challenge (CVPR workshop))
Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction