Interactive Geometry Editing of Neural Radiance Fields [Arxiv Paper]

Code for our paper:

Interactive Geometry Editing of Neural Radiance Fields
Shaoxu Li, Ye Pan

Installation

Dependencies

• PyTorch 1.4
• matplotlib
• numpy
• imageio
• imageio-ffmpeg
• configargparse

How To Run?

Download data for two example datasets: lego and fern

bash download_example_data.sh

To train a low-res lego NeRF:

python run_nerf.py --config configs/lego.txt

To render a edited lego NeRF:

python run_nerf_edit.py --config configs/lego.txt

Sorry for not finishing the interface design. You can define the cages in "run_nerf_edit.py" line 29-40. You can choose to use boxs or directly indicate some control points by setting "box_cage" and other parameters.

Comments

• Our codebase is based on the nerf implemented by nerf-pytorch.

BibTeX

@misc{li2023interactive,
      title={Interactive Geometry Editing of Neural Radiance Fields}, 
      author={Shaoxu Li and Ye Pan},
      year={2023},
      eprint={2303.11537},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Related Work

@inproceedings{mildenhall2020nerf,
  title={NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis},
  author={Ben Mildenhall and Pratul P. Srinivasan and Matthew Tancik and Jonathan T. Barron and Ravi Ramamoorthi and Ren Ng},
  year={2020},
  booktitle={ECCV},
}
@misc{lin2020nerfpytorch,
  title={NeRF-pytorch},
  author={Yen-Chen, Lin},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished={\url{https://github.com/yenchenlin/nerf-pytorch/}},
  year={2020}
}