2D Gaussian Splatting for Geometrically Accurate Radiance Fields
ShanghaiTech University · University of Tübingen
Abstract
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails to accurately represent surfaces due to the multi-view inconsistent nature of 3D Gaussians. We present 2D Gaussian Splatting (2DGS), a novel approach to model and reconstruct geometrically accurate radiance fields from multi-view images. Our key idea is to collapse the 3D volume into a set of 2D oriented planar Gaussian disks. Unlike 3D Gaussians, 2D Gaussians provide view-consistent geometry while modeling surfaces intrinsically. To accurately recover thin surfaces and achieve stable optimization, we introduce a perspective-accurate…
Citation impact
- FWCI
- 237.92
- Percentile
- 100%
- References
- 39
Authors
5Topics & keywords
- Radiance
- Computer science
- Gaussian
- Computer graphics (images)
- Artificial intelligence
- Computer vision
- Remote sensing
- Geology