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.
[ICLR 2023] Selective Frequency Network for Image Restoration
Revitalizing Convolutional Network for Image Restoration
ABME AdaFNIO AMT BiM-VFI BiT CBBD CDFI CtxSyn DBVI DeMFI DQBC DRVI DvP EAFI EBME EDC EDEN EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR GIMM-VFI HFD HiFI H-VFI IFRNet InterpAny-Clearer IQ-VFI JNMR LADDER M2M MA-GCSPA MoMo PerVFI PRF RIFE RN-VFI SepConv SoftSplat SSR ST-MFNet Swin-VFI TDPNet TTVFI UGFI UPR-Net VFIformer VFIFT VFIMamba VFIT VRT XVFI
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
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
[CVPR 2025] Official code of "DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting"
A curated list of research papers and datasets related to image and video deblurring.
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
This repository contains the PyTorch implementation of the ICCV'17 Paper, "Deep Generative Filter for Motion Deblurring"
Optimization code of DiET-GS++ (Stage 2).
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