Recent advances in 3D Gaussian splatting
文献类型：期刊论文
| 作者 | Wu, Tong1; Yuan, Yu-Jie1; Zhang, Ling-Xiao1; Yang, Jie1; Cao, Yan-Pei2,3; Yan, Ling-Qi4; Gao, Lin1 |
| 刊名 | COMPUTATIONAL VISUAL MEDIA
 |
| 出版日期 | 2024-07-08 |
| 页码 | 30 |
| 关键词 | 3D Gaussian splatting (3DGS) radiance field novel view synthesis 3D editing scene generation |
| ISSN号 | 2096-0433 |
| DOI | 10.1007/s41095-024-0436-y |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:001263690100001 |
| 出版者 | TSINGHUA UNIV PRESS |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/39854]  |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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