A curated list of resources for Image and Video Deblurring

VRT: A Video Restoration Transformer (official repository)

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)

Simple framework for image and video deblurring, implemented by PyTorch

[ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

[ICCV 2019] Spatio-Temporal Filter Adaptive Network for Video Deblurring

ABME AdaFNIO AMT BiM-VFI BiT CBBD CDFI CtxSyn DBVI DC-BVFI 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 RIFE RN-VFI SepConv SoftSplat SSR ST-MFNet Swin-VFI TDPNet TLB-VFI TTVFI UGFI UPR-Net VFIformer VFIFT VFIMamba VFIT VRT XVFI

[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.

[TOG 2021] Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"

[ECCV 2022] Official repository of DeMFI.

Implementation of "Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring". (Zhang et al., CVPR 2024)

Video Deblurring with Transformer

Implementation of “Video Deblurring by Fitting to Test Data“: https://arxiv.org/abs/2012.05228

[AIR 2023] Video restoration based on deep learning: a comprehensive survey

A curated list of research papers and datasets related to image and video deblurring.

An AI driven Video manipulation toolkit

Deep Video Deblurring Using Sharpness Features from Exemplars (TIP, 2020) (PyTorch)

Unofficial implementation of the DeblurGAN model. With this repository you will be able to implement the model from scratch with your own dataset.