ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
MICCAI 2025, Oral
Chengkun Li
Β·
Yuqi Tong
Β·
Kai Chen
Β·
Zhenya Yang
Β·
Ruiyang Li
Β·
Shi Qiu
Β·
Jason Ying-Kuen Chan
Β·
Pheng-Ann Heng
Β·
Qi Dou
This repository contains the pytorch implementation for the paper ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data, MICCAI 2025. In this paper, we proposed a novel GS-based framework that can render volumetric medical data with clipping planes with photorealism and real-time.
Welcom to cite our work, If you find it is useful for your research.
@article{li2025clipgs,
title={ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data},
author={Li, Chengkun and Tong, Yuqi and Chen, Kai and Yang, Zhenya and Li, Ruiyang and Qiu, Shi and Chan, Jason Ying-Kuen and Heng, Pheng-Ann and Dou, Qi},
journal={arXiv preprint arXiv:2507.06647},
year={2025}
}For further questions, pls feel free to contact Chengkun Li.
