CVPR2025

EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction

Dongrui Dai, Yuxiang Xing

摘要

Figure 1. Comparison of the FSGS [41] and our proposed EAP-GS with 12 training views. With Attentional Pointcloud Augmentation technique, our method generates significantly more valuable points in the initialization stage than the traditional COLMAP method, especially in regions with weakly pronounced texture and peripheral area, which ultimately improves the reconstruction quality effectively.