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[IJCV][ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
The main features of zzh-tech/estrnn are: Motion Deblurring, Video Motion Deblurring.
Projects with overlapping indexed features include: benhenryl/sharpnerf — Byeonghyeon Lee, Howoong Lee, Usman Ali, and Eunbyung Park. chen-rao/vd-diff — Official implementation of Paper "Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion… codeslake/pvdnet — [TOG 2021] Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and… csbhr/cdvd-tsp — The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal… dogyoonlee/dp-nerf — [CVPR 2023 - Official] DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors. ascend-research/turtle — [ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
Byeonghyeon Lee, Howoong Lee, Usman Ali, and Eunbyung Park
Official implementation of Paper "Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model" (ECCV 2024)
TOG 2021 Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"
NeurIPS 2024 The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.