The state-of-the-art image restoration model without nonlinear activation functions.

A curated list of resources for Image and Video Deblurring

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

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] 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.

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

A Repository for Diffusion-Model-related Papers in Low-level Vision

A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision

Simple framework for image and video deblurring, implemented by PyTorch

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

[ECCV 2022] LEDNet: Joint Low-light Enhancement and Deblurring in the Dark

A Collection of Papers and Codes for ICCV2025/ICCV2021 Low Level Vision

A Collection of Low Level Vision Research Groups

Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.

[ICLR'25] AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

KBNet: Kernel Basis Network for Image Restoration

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

Code for paper:Memory Augment is All Your Need for image restoration. TCE 2025

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

[TPAMI] Image Restoration via Frequency Selection

Compound Multi-branch Feature Fusion for Real Image Restoration

No description provided.

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

On-Demand Learning for Deep Image Restoration (ICCV 2017)

[NeurIPS 2024] EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models

Blur Conversion for Unsupervised Image Deblurring (CVPR'24)

Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration