A curated list of resources for Image and Video Deblurring
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Updated
May 3, 2024
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 BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR 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.
Video Deblurring with Transformer
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)
[AIR 2023] Video restoration based on deep learning: a comprehensive survey
Deep Video Deblurring Using Sharpness Features from Exemplars (TIP, 2020) (PyTorch)
An AI driven Video manipulation toolkit
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