Deblurring
Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization
The implementation of "Learning Single Image Defocus Deblurring with Misaligned Training Pairs".
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
[CVPR Oral 2022] PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
A curated list of resources for Image and Video Deblurring
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
The state-of-the-art image restoration model without nonlinear activation functions.