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)

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

Simple framework for image and video deblurring, implemented by PyTorch

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

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

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

Rankings include: ABME AdaFNIO ALANET AMT BiM-VFI BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR HiFI H-VFI IFRNet IQ-VFI JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet Swin-VFI TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIFT VFIMamba VFIT VIDUE VRT

[ECCV 2022] Official repository of DeMFI.

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

Video Deblurring with Transformer

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

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

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

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

An AI driven Video manipulation toolkit

This repository contains the poster (and its TeX code) for our paper "Learning Truncated Causal History Model for Video Restoration" in NeurIPS 2024.