3D Gaussian Splatting as a New Era: A Survey

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of computer graphics and 3D vision, offering explicit scene representation and novel view synthesis without the reliance on neural networks. This technique has found diverse applications in areas such as robotics, ur...

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Bibliographic Details
Published inIEEE transactions on visualization and computer graphics Vol. 31; no. 8; pp. 4429 - 4449
Main Authors Fei, Ben, Xu, Jingyi, Zhang, Rui, Zhou, Qingyuan, Yang, Weidong, He, Ying
Format Journal Article
LanguageEnglish
Published United States IEEE 01.08.2025
Subjects
3D Gaussian splatting
3D reconstruction
differentiable rendering
generation
Image color analysis
Image reconstruction
manipulation
perception
Rendering (computer graphics)
Reviews
Surveys
Three-dimensional displays
Videos
virtual humans
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Summary:3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of computer graphics and 3D vision, offering explicit scene representation and novel view synthesis without the reliance on neural networks. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented reality, just name a few. Given the growing popularity and expanding research in 3D-GS, this paper presents a comprehensive survey of relevant papers from the past year. We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D-GS. The survey aims to introduce the theoretical foundations of 3D Gaussian Splatting and provide a reference for new researchers while inspiring future research directions.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2024.3397828