Recent advances in 3D Gaussian splatting

doi:10.1007/s41095-024-0436-y

	Recent advances in 3D Gaussian splatting
	Wu, Tong 1; Yuan, Yu-Jie 1; Zhang, Ling-Xiao 1; Yang, Jie 1; Cao, Yan-Pei 2,3; Yan, Ling-Qi 4; Gao, Lin 1
	2024-07-08
发表期刊	COMPUTATIONAL VISUAL MEDIA
ISSN	2096-0433
页码	30
摘要	The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) that represent a 3D scene with position and viewpoint-conditioned neural networks, 3D Gaussian splatting utilizes a set of Gaussian ellipsoids to model the scene so that efficient rendering can be accomplished by rasterizing Gaussian ellipsoids into images. Apart from fast rendering, the explicit representation of 3D Gaussian splatting also facilitates downstream tasks like dynamic reconstruction, geometry editing, and physical simulation. Considering the rapid changes and growing number of works in this field, we present a literature review of recent 3D Gaussian splatting methods, which can be roughly classified by functionality into 3D reconstruction, 3D editing, and other downstream applications. Traditional point-based rendering methods and the rendering formulation of 3D Gaussian splatting are also covered to aid understanding of this technique. This survey aims to help beginners to quickly get started in this field and to provide experienced researchers with a comprehensive overview, aiming to stimulate future development of the 3D Gaussian splatting representation.
关键词	3D Gaussian splatting (3DGS) radiance field novel view synthesis 3D editing scene generation
DOI	10.1007/s41095-024-0436-y
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62322210] ; Beijing Municipal Natural Science Foundation for Distinguished Young Scholars[JQ21013] ; Beijing Municipal Science and Technology Commission[Z231100005923031] ; The 2023 Tencent AI Lab Rhino-Bird Focused Research Program
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:001263690100001
出版者	TSINGHUA UNIV PRESS
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39855
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Gao, Lin
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Tencent AI Lab, Beijing 100089, Peoples R China 3.VAST, Beijing 100000, Peoples R China 4.Univ Calif Santa Barbara, Dept Comp Sci, Santa Barbara, CA 93106 USA
推荐引用方式 GB/T 7714	Wu, Tong,Yuan, Yu-Jie,Zhang, Ling-Xiao,et al. Recent advances in 3D Gaussian splatting[J]. COMPUTATIONAL VISUAL MEDIA,2024:30.
APA	Wu, Tong.,Yuan, Yu-Jie.,Zhang, Ling-Xiao.,Yang, Jie.,Cao, Yan-Pei.,...&Gao, Lin.(2024).Recent advances in 3D Gaussian splatting.COMPUTATIONAL VISUAL MEDIA,30.
MLA	Wu, Tong,et al."Recent advances in 3D Gaussian splatting".COMPUTATIONAL VISUAL MEDIA (2024):30.