MS-NeRF(CVPR 2023)

This repository contains the official implementation of the following paper:

Multi-Space Neural Radiance Fields
Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren^*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

[Arxiv] [Project Page] [Dataset] [Checkpoints]

Work in Progress

[√] Release the training and evaluation code for Mip-NeRF 360-based experiments.
Integrate the Mip-NeRF and NeRF -based code into the Jax version of implementation.
Re-implement a PyTorch version of the codebase.

Jax implementation

We build our code on top of MultiNeRF, please check the code in jax/.

PyTorch implementation

We are working on this...

Citation

If you find our repo useful for your research, please consider citing our paper:

@InProceedings{Yin_2023_CVPR,
    author    = {Yin, Ze-Xin and Qiu, Jiaxiong and Cheng, Ming-Ming and Ren, Bo},
    title     = {Multi-Space Neural Radiance Fields},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {12407-12416}
}

And the codebase is heavily borrowed from MultiNeRF, please consider also cite this repository:

@misc{multinerf2022,
      title={{MultiNeRF}: {A} {Code} {Release} for {Mip-NeRF} 360, {Ref-NeRF}, and {RawNeRF}},
      author={Ben Mildenhall and Dor Verbin and Pratul P. Srinivasan and Peter Hedman and Ricardo Martin-Brualla and Jonathan T. Barron},
      year={2022},
      url={https://github.com/google-research/multinerf},
}

License

Licensed under a Creative Commons Attribution-NonCommercial 4.0 International for Non-commercial use only. Any commercial use should get formal permission first.

Acknowledgement

We thank for some wonderful nerf repos, including mipnerf, multinerf, nerf-pytorch , nerfren, and nerf_pl. We heavily borrow codes from these projects.

ZX-Yin / ms-nerf