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

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)

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

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

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

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

Video Deblurring with Transformer

[ECCV 2022] Official repository of DeMFI.

Rankings include: ABME AdaFNIO ALANET AMT 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

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

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

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

Simple framework for image and video deblurring, implemented by PyTorch

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

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

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

VRT: A Video Restoration Transformer (official repository)

A curated list of resources for Image and Video Deblurring