VRT: A Video Restoration Transformer (official repository)
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
Simple framework for image and video deblurring, implemented by PyTorch
[IJCV][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
[ 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
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.
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