[CVPR 2025] Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment
May 13, 2026 ยท View on GitHub
(Paper Link), (Extended Journal Link), (Website Link).
2026.5.10 : Thanks for the open issue, I fixed some bugs in Luminance-GS training.
2026.2.25 : The extended version, Luminance-GS++, has been released, link here!
2025.2.27 : Paper accepted by CVPR 2025 !
2025.4.27 : Code and dataset released !
Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment (Conference Version)
Ziteng Cui*1, Xuangeng Chu1, Tatsuya Harada1,2.
1.The University of Tokyo, 2.RIKEN AIP.
Unifying Color and Lightness Correction with View-Adaptive Curve Adjustment for Robust 3D Novel View Synthesis (Journal Version)
Ziteng Cui1, Shuhong Liu1 Xiaoyu Dong1 Xuangeng Chu1, Lin Gu*2 Ming-Hsuan Yang3 Tatsuya Harada1,4.
1.The University of Tokyo, 2.Tohoku University, 3.UC Merced, 4.RIKEN AIP.
Use The Code:
cd Luminance-GS
Citation:
@inproceedings{cui_luminance_gs,
title = {Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment},
author = {Cui, Ziteng and Chu, Xuangeng and Harada, Tatsuya},
booktitle={CVPR},
year={2025}}
@misc{cui_luminance_gs_plus_plus,
title={Unifying Color and Lightness Correction with View-Adaptive Curve Adjustment for Robust 3D Novel View Synthesis},
author={Ziteng Cui and Shuhong Liu and Xiaoyu Dong and Xuangeng Chu and Lin Gu and Ming-Hsuan Yang and Tatsuya Harada},
year={2026},
eprint={2602.18322},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2602.18322},
}
Dataset Citation:
@inproceedings{cui_aleth_nerf,
title={Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption},
author={Cui, Ziteng and Gu, Lin and Sun, Xiao and Ma, Xianzheng and Qiao, Yu and Harada, Tatsuya},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2024}
}
๐: Some Also Great Co-current Works (almost 3DGS in dark):
sRGB-based:
[IROS 2024] DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration
[Arxiv 2025] LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesis
RAW-based:
[NIPS 2024] Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
[NIPS 2024] From Chaos to Clarity: 3DGS in the Dark