This repository contains the official implementation of the following paper:
MS-NeRF: Multi-Space Neural Radiance Fields
Ze-Xin Yin, Peng-Yi Jiao, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren*
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
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] [Dataset(百度云[TBD])] [Checkpoints]
- [√] Release the training and evaluation code for Mip-NeRF 360-based experiments.
- Release the training and evaluation code for TensoRF-based experiments.
- Release the training and evaluation code for iNGP-based experiments.
- Release the training and evaluation code for Mip-NeRF-based experiments.
- Release the training and evaluation code for NeRF-based experiments.
We build our code on top of MultiNeRF, please check the code in mip360/
. This part of implementation 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},
}
If you find our repo useful for your research, please consider citing our paper:
@ARTICLE{msnerf_2025_TPAMI,
author={Yin, Ze-Xin and Jiao, Peng-Yi and Qiu, Jiaxiong and Cheng, Ming-Ming and Ren, Bo},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={MS-NeRF: Multi-Space Neural Radiance Fields},
year={2025},
volume={},
number={},
pages={1-18},
doi={10.1109/TPAMI.2025.3540074}}
@InProceedings{msnerf_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}
}
Licensed under a Creative Commons Attribution-NonCommercial 4.0 International for Non-commercial use only. Any commercial use should get formal permission first.
We thank for some wonderful nerf repos, including mipnerf, multinerf, nerf-pytorch , nerfren, and nerf_pl. We heavily borrow codes from these projects.