HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

 

Introduction

This is the official implementation of our NeurIPS 2024 paper "HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting". We have run the SfM algorithm to recalibrate the data. If you find this repo useful, please give it a star ⭐ and consider citing our paper. Thank you.

News

• 2024.07.01 : Our HDR-GS has been accepted by NeurIPS 2024! Code will be released before the start date of the conference (2024.12.10). Stay tuned. 🚀
• 2024.05.24 : Our paper is on arxiv now. Code, data, and training logs will be released. Stay tuned. 💫

Performance

Synthetic Datasets

Real Datasets

 

Citation

@inproceedings{hdr_gs,
  title={HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting},
  author={Yuanhao Cai and Zihao Xiao and Yixun Liang and Minghan Qin and Yulun Zhang and Xiaokang Yang and Yaoyao Liu and Alan Yuille},
  booktitle={NeurIPS},
  year={2024}
}