2D Gaussian Splatting for Geometrically Accurate Radiance Fields
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field
reconstruction, achieving high quality novel view synthesis and fast rendering
speed without baking. 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 2D splatting process
utilizing ray-splat intersection and rasterization. Additionally, we
incorporate depth distortion and normal consistency terms to further enhance
the quality of the reconstructions. We demonstrate that our differentiable
renderer allows for noise-free and detailed geometry reconstruction while
maintaining competitive appearance quality, fast training speed, and real-time
rendering. Our code will be made publicly available.
66039c0f172fcd3243991d3e
Binbin Huang
66039c0f172fcd3243991d3f
Zehao Yu
66039c0f172fcd3243991d40
Anpei Chen
admin_assigned
2024-03-27T09:50:33.568Z
63ea4b4be7f148f46015099f
https://cdn-avatars.huggingface.co/v1/production/uploads/63ea4b4be7f148f46015099f/tTuZYvtmM2IIGBH8BpKA1.jpeg
ANPEI CHEN
user
apchen
66039c0f172fcd3243991d41
Andreas Geiger
admin_assigned
2024-03-27T09:50:39.032Z
620cae049086f3c07f01e3d5
https://cdn-avatars.huggingface.co/v1/production/uploads/1644998139538-noauth.jpeg
Andreas Geiger
user
andreas-geiger
66039c0f172fcd3243991d42
Shenghua Gao
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field
reconstruction, achieving high quality novel view synthesis and fast rendering
speed without baking. 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 2D splatting process
utilizing ray-splat intersection and rasterization. Additionally, we
incorporate depth distortion and normal consistency terms to further enhance
the quality of the reconstructions. We demonstrate that our differentiable
renderer allows for noise-free and detailed geometry reconstruction while
maintaining competitive appearance quality, fast training speed, and real-time
rendering. Our code will be made publicly available.
2D Gaussian Splatting models and reconstructs geometrically accurate radiance fields from multi-view images, improving surface accuracy and rendering efficiency.
3D Gaussian Splatting 2D Gaussian Splatting radiance field geometrically accurate view-consistent geometry perspective-accurate ray-splat intersection rasterization depth distortion normal consistency differentiable renderer noise-free detailed geometry reconstruction fast training speed real-time rendering