> ML_ARCHITECTURE // 3D-GAUSSIAN-SPLATTING-RENDERER_v1.0
3D Gaussian Splatting (Rasterized Scene Representation)
Explicit 3D radiance field representation modeling scenes as anisotropic 3D Gaussian primitives rasterized using GPU tile sorting, delivering photorealistic real-time interactive 100+ FPS rendering.
3D Neural Representations3d-pointcloudsimage
Back to All ArchitecturesArchitecture Overview
Explicit 3D radiance field representation modeling scenes as anisotropic 3D Gaussian primitives rasterized using GPU tile sorting, delivering photorealistic real-time interactive 100+ FPS rendering.
Implementing Libraries
PyTorchLinux Foundation / PyTorch Foundation · v2.4.1
View SpecSeminal Papers
3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas (2023) · ACM Transactions on Graphics (SIGGRAPH)
Architectural Limitations & Constraints
- Requires compatible deep learning framework and hardware acceleration for efficient execution.
