How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
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"
The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
NeurIPS 2024 The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
Byeonghyeon Lee, Howoong Lee, Usman Ali, and Eunbyung Park
The main features of benhenryl/sharpnerf are: Video Motion Deblurring.
Open-source alternatives to benhenryl/sharpnerf include: 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. huicongzhang/bsstnet — Implementation of "Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring". (Zhang et al., CVPR 2024). ascend-research/turtle — [ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.