DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video

Minh-Quan Viet Bui^{* 1}  Jongmin Park^{* 1}  Jihyong Oh^{† 2}  Munchurl Kim^{† 1}

^*Co-first authors (equal contribution)

^†Co-corresponding authors (equal advising)

¹Korea Advanced Institute of Science and Technology, South Korea

²Chung-Ang University, South Korea

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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

Codes and pretrained models will be updated soon.

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News

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

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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}

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