title: 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
summary: 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.
paper_authors._id: 66039c0f172fcd3243991d3e
paper_authors.name: Binbin Huang
paper_authors._id: 66039c0f172fcd3243991d3f
paper_authors.name: Zehao Yu
paper_authors._id: 66039c0f172fcd3243991d40
paper_authors.name: Anpei Chen
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-03-27T09:50:33.568Z
paper_authors._id: 63ea4b4be7f148f46015099f
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/63ea4b4be7f148f46015099f/tTuZYvtmM2IIGBH8BpKA1.jpeg
paper_authors.fullname: ANPEI CHEN
paper_authors.type: user
paper_authors.user: apchen
paper_authors._id: 66039c0f172fcd3243991d41
paper_authors.name: Andreas Geiger
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-03-27T09:50:39.032Z
paper_authors._id: 620cae049086f3c07f01e3d5
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1644998139538-noauth.jpeg
paper_authors.fullname: Andreas Geiger
paper_authors.type: user
paper_authors.user: andreas-geiger
paper_authors._id: 66039c0f172fcd3243991d42
paper_authors.name: Shenghua Gao
paper_title: 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
paper_summary: 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.
paper_ai_summary: 2D Gaussian Splatting models and reconstructs geometrically accurate radiance fields from multi-view images, improving surface accuracy and rendering efficiency.
paper_ai_keywords: 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