MVSGaussian: fast generalizable Gaussian splatting reconstruction from multi-view stereo

• Main Authors: Liu, Tianqi, Wang, Guangcong, Hu, Shoukang, Shen, Liao, Ye, Xinyi, Zang, Yuhang, Cao, Zhiguo, Li, Wei, Liu, Ziwei
• 其他作者: College of Computing and Data Science
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2025
• 主題: Computer and Information Science; Generalizable Gaussian splatting; Multi-view stereo
• 在線閱讀: https://hdl.handle.net/10356/182591; http://arxiv.org/abs/2405.12218v3

We present MVSGaussian, a new generalizable 3D Gaussian representation approach derived from Multi-View Stereo (MVS) that can efficiently reconstruct unseen scenes. Specifically, 1) we leverage MVS to encode geometry-aware Gaussian representations and decode them into Gaussian parameters. 2) To...