Tiecheng Sun — accepted AI-conference papers

2026

Scalable Training of 3D Gaussian Splatting via Out-of-Core Optimization

Chonghao Zhong, Shi Linfeng, ChenHua, Tiecheng Sun, Hao Zhao, Binhang Yuan +1

ICML 2026spotlight

Training 3D Gaussian Splatting (3DGS) at billion-primitive scale is fundamentally memory-bound: each Gaussian carries a large attribute vector, and the aggregate parameter table quickly exceeds GPU capacity, limiting prior systems to tens of millions of Gaussians on consumer hardware. We observe tha…

Cited by 0 Source ↗Scholar ↗

2024

HI-SLAM: Monocular Real-Time Dense Mapping With Hybrid Implicit Fields

Wei Zhang, Tiecheng Sun, Sen Wang, Qing Cheng, Norbert Haala

RA-L 2024

In this letter, we present a neural field-based real-time monocular mapping framework for accurate and dense Simultaneous Localization and Mapping (SLAM). Recent neural mapping frameworks show promising results, but rely on RGB-D or pose inputs, or cannot run in real-time. To address these limitatio

Cited by 46 Source ↗Scholar ↗