title: Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D
    Gaussians
summary: The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering
  fidelity and efficiency compared to NeRF-based neural scene representations.
  While demonstrating the potential for real-time rendering, 3D-GS encounters
  rendering bottlenecks in large scenes with complex details due to an excessive
  number of Gaussian primitives located within the viewing frustum. This
  limitation is particularly noticeable in zoom-out views and can lead to
  inconsistent rendering speeds in scenes with varying details. Moreover, it
  often struggles to capture the corresponding level of details at different
  scales with its heuristic density control operation. Inspired by the
  Level-of-Detail (LOD) techniques, we introduce Octree-GS, featuring an
  LOD-structured 3D Gaussian approach supporting level-of-detail decomposition
  for scene representation that contributes to the final rendering results. Our
  model dynamically selects the appropriate level from the set of
  multi-resolution anchor points, ensuring consistent rendering performance with
  adaptive LOD adjustments while maintaining high-fidelity rendering results.
paper_authors._id: 66039957c530ce2222488e3c
paper_authors.name: Kerui Ren
paper_authors._id: 66039957c530ce2222488e3d
paper_authors.name: Lihan Jiang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-03-27T09:54:06.682Z
paper_authors._id: 64a4ce8118f4e2529546daef
paper_authors.avatarUrl: /avatars/6d88aa68eccfa07d2009df405f957fd7.svg
paper_authors.fullname: Jiang Lihan
paper_authors.type: user
paper_authors.user: lhjiang
paper_authors._id: 66039957c530ce2222488e3e
paper_authors.name: Tao Lu
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-03-27T09:59:21.565Z
paper_authors._id: 656e9db559afca5707c493c5
paper_authors.avatarUrl: /avatars/ffe72a82aaf42c80eb988344415672ba.svg
paper_authors.fullname: Tao Lu
paper_authors.type: user
paper_authors.user: Isaaclt
paper_authors._id: 66039957c530ce2222488e3f
paper_authors.name: Mulin Yu
paper_authors._id: 66039957c530ce2222488e40
paper_authors.name: Linning Xu
paper_authors._id: 66039957c530ce2222488e41
paper_authors.name: Zhangkai Ni
paper_authors._id: 66039957c530ce2222488e42
paper_authors.name: Bo Dai
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-03-27T09:54:51.152Z
paper_authors._id: 635f93577c05eb9f59966209
paper_authors.avatarUrl: /avatars/add48d7e3790a6b500d6c451ef8b0f75.svg
paper_authors.fullname: Intelligent Digital Creation
paper_authors.type: user
paper_authors.user: BoDai
paper_title: Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D
    Gaussians
paper_summary: The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering
  fidelity and efficiency compared to NeRF-based neural scene representations.
  While demonstrating the potential for real-time rendering, 3D-GS encounters
  rendering bottlenecks in large scenes with complex details due to an excessive
  number of Gaussian primitives located within the viewing frustum. This
  limitation is particularly noticeable in zoom-out views and can lead to
  inconsistent rendering speeds in scenes with varying details. Moreover, it
  often struggles to capture the corresponding level of details at different
  scales with its heuristic density control operation. Inspired by the
  Level-of-Detail (LOD) techniques, we introduce Octree-GS, featuring an
  LOD-structured 3D Gaussian approach supporting level-of-detail decomposition
  for scene representation that contributes to the final rendering results. Our
  model dynamically selects the appropriate level from the set of
  multi-resolution anchor points, ensuring consistent rendering performance with
  adaptive LOD adjustments while maintaining high-fidelity rendering results.
paper_ai_summary: Octree-GS, a novel LOD-structured 3D Gaussian approach, enhances real-time rendering efficiency and consistency in large, complex scenes.
paper_ai_keywords: 3D Gaussian splatting NeRF Gaussian primitives viewing frustum level-of-detail LOD multi-resolution anchor points