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DehazeNeRF

Official repository for DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields

Wei-Ting Chen*, Wang Yifan*, Sy-Yen Kuo, Gordon Wetzstein
(* indicates equal contribution.)
3DV 2024

Project Page | Paper | Video | Dataset

arXiv

image

Updates

  • 10/15/23: ✨ DehazeNeRF was accepted into 3DV!

Setup

You can use the following to set up a Conda environment.\

Download our pretrained model HERE. Put the pretrained model in a runs folder.

We put the datasets into a folder outside of the repo to create the following file structure



Synthetic Dataset in DehazeNeRF downloaded from here


File structure should be as follows:




Real Capture Dataset in DehazeNeRF downloaded from here


File structure should be as follows:




Usage






To test:




Reference


If you find this work useful, please consider citing us!


@inproceedings{chen2024dehazenerf,
  title={Dehazenerf: Multiple image haze removal and 3d shape reconstruction using neural radiance fields},
  author={Chen, Wei-Ting and Yifan, Wang and Kuo, Sy-Yen and Wetzstein, Gordon},
  journal={3DV},
  year={2024}
}


Acknowledgements


We thank the authors of NeuS from which our repo is based off of.