Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D
  Gaussians
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.
66039957c530ce2222488e3c
Kerui Ren
66039957c530ce2222488e3d
Lihan Jiang
admin_assigned
2024-03-27T09:54:06.682Z
64a4ce8118f4e2529546daef
/avatars/6d88aa68eccfa07d2009df405f957fd7.svg
Jiang Lihan
user
lhjiang
66039957c530ce2222488e3e
Tao Lu
claimed_verified
2024-03-27T09:59:21.565Z
656e9db559afca5707c493c5
/avatars/ffe72a82aaf42c80eb988344415672ba.svg
Tao Lu
user
Isaaclt
66039957c530ce2222488e3f
Mulin Yu
66039957c530ce2222488e40
Linning Xu
66039957c530ce2222488e41
Zhangkai Ni
66039957c530ce2222488e42
Bo Dai
admin_assigned
2024-03-27T09:54:51.152Z
635f93577c05eb9f59966209
/avatars/add48d7e3790a6b500d6c451ef8b0f75.svg
Intelligent Digital Creation
user
BoDai
Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D
  Gaussians
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.
Octree-GS, a novel LOD-structured 3D Gaussian approach, enhances real-time rendering efficiency and consistency in large, complex scenes.
3D Gaussian splatting NeRF Gaussian primitives viewing frustum level-of-detail LOD multi-resolution anchor points