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DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video

*Co-first authors (equal contribution)
Co-corresponding authors (equal advising)
1Korea Advanced Institute of Science and Technology, South Korea
2Chung-Ang University, South Korea

This repository is the official PyTorch implementation of "DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video". DyBluRF achieves state-of-the-art performance in novel problem setting of dynamic deblurring NeRF.

Please visit our project page for more visual results.

🎬 Network Architecture

overall_structure

Codes and pretrained models will be updated soon.


News

  • March 26, 2024: This repository is created
  • December 21, 2023: This paper is uploaded to Arxiv

Reference

@article{bui2023dyblurf,
      title={DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video}, 
      author={Minh-Quan Viet Bui and Jongmin Park and Jihyong Oh and Munchurl Kim},
      journal={arXiv preprint arXiv:2312.13528},
      year={2023}