A survey on surface reconstruction based on 3D Gaussian splatting
Surface reconstruction is a foundational topic in computer graphics and has gained substantial research interest in recent years. With the emergence of advanced neural radiance fields (NeRFs) and 3D Gaussian splatting (3D GS), numerous innovative many novel algorithms for 3D model surface reconstruc...
Saved in:
| Main Authors: | Zheng Xu, Gang Chen, Feng Li, Lingyu Chen, Yuanhang Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-08-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3034.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dual-Dimensional Gaussian Splatting Integrating 2D and 3D Gaussians for Surface Reconstruction
by: Jichan Park, et al.
Published: (2025-06-01) -
TGA-GS: Thermal Geometrically Accurate Gaussian Splatting
by: Chen Zou, et al.
Published: (2025-04-01) -
Trends and Techniques in 3D Reconstruction and Rendering: A Survey with Emphasis on Gaussian Splatting
by: Wenhe Chen, et al.
Published: (2025-06-01) -
3D reconstruction for unconstrained image collections using Gaussian Splatting with foundation model
by: Shuowen Huang, et al.
Published: (2025-07-01) -
Metric Error Assessment Regarding Geometric 3D Reconstruction of Transparent Surfaces via SfM Enhanced by 2D and 3D Gaussian Splatting
by: Dario Billi, et al.
Published: (2025-07-01)