Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians - Octree-GS/render.py at main · city-super/Octree-GS
git clone https://github.com/city-super/Octree-GS --recursive cd Octree-GS Install dependencies SET DISTUTILS_USE_SDK=1 # Windows only conda env create --file environment.yml conda activate octree_gs Data First, create adata/folder inside the project path by ...
右侧的图表显示,两种最先进的方法在远距离视图中无法实时渲染过多的高斯基元,而Octree-GS始终实现了实时渲染性能(≥ 30 FPS)。 内容概述 Octree-GS结合了八叉树结构,通过多视图图像学习神经场景,并将其表示为3D高斯点,层次化地组织成多个层级。在Scaffold-GS的基础上,这种空间结构为几何和渲染引入了LOD层次,通过动...
链接:https://arxiv.org/pdf/2403.17898.pdf 代码:https://city-super.github.io/octree-gs/ 1、导读 本文提出了一种称为Octree-GS的基于八叉树结构的3D高斯体渲染方法。 2、创新点 引入了LOD(Level of Detail,细节层次)结构来组织3D高斯体,支持根据视角和场景细节自适应地选择不同的LOD进行渲染,从而提高渲染...
Code: city-super.github.io/oc TL,DR: 该论文针对3D高斯点渲染(3D-GS)在复杂大场景中遇到的渲染瓶颈问题,提出了一种新的解决方案。通过引入八叉树结构的3D高斯方法(Octree-GS),实现了细节层次化(LOD)的场景表示,有效支持细节层次化分解。该方法能够根据场景的不同区域动态选择适当的细节层次,确保渲染性能的一致...
在3D渲染领域,处理复杂大场景一直是一个挑战。为了解决这一问题,研究者们提出了一种创新的解决方案——Octree-GS。这项技术通过引入八叉树结构的3D高斯方法,实现了细节层次化(LOD)的场景表示,从而有效支持细节层次化分解。Octree-GS的核心思想是根据场景的不同区域动态选择适当的细节层次,确保渲染性能的一致性。通过...
代码:https://city-super.github.io/octree-gs/ 1、导读 本文提出了一种称为Octree-GS的基于八叉树结构的3D高斯体渲染方法。 2、创新点 引入了LOD(Level of Detail,细节层次)结构来组织3D高斯体,支持根据视角和场景细节自适应地选择不同的LOD进行渲染,从而提高渲染效率并保持高质量的视觉效果。
Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians - Octree-GS/environment.yml at main · city-super/Octree-GS
Thanks for your patient reply! Did you only adjust p_view.z to 0.0001? Are there any other adjustments? and does your dataset also use only street_block_small (which just include vertical and horizon view) ? I would appreciate it if you ...
Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians - Update SIBR_viewers · city-super/Octree-GS@405aa62