image-deblurring

A curated list of resources for Image and Video Deblurring

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

[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 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.

KBNet: Kernel Basis Network for Image Restoration

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

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