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

[ICLR 2023] Selective Frequency Network for Image Restoration

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

Revitalizing Convolutional Network for Image Restoration

Pytorch implementation of ICCV'23 paper "Generalizing Event-based Motion Deblurring in Real-World Scenarios"

This project deals with blind motion deblurring using a combination of Weiner Deconvolution and Deep Learning techniques to estimate the length and angle parameter of the Point-Spread Function

A novel approach to blind motion deblurring by converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning

Digital image processing algorithms in Python3 and OpenCV