CVPR2025

GauSTAR: Gaussian Surface Tracking and Reconstruction

Chengwei Zheng, Lixin Xue, Juan Zarate, Jie Song

摘要

Figure 1 . We propose GauSTAR, a novel method that (a) enables photo-realistic rendering, surface reconstruction, and 3D tracking for dynamic scenes while handling topology changes. (b) GauSTAR adapts to topology changes through two mechanisms: consistent tracking for stable surfaces (red circles) and dynamic surface generation for newly appearing geometry (orange circles).