Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
–Neural Information Processing Systems
Achieving both high rendering quality and accurate geometry is a challenge. Recent advancements in 3D Gaussian Splatting (3DGS) have enabled high-fidelity novel view synthesis at real-time speeds. However, the noisy and discrete nature of 3D Gaussian primitives hinders accurate surface estimation. Previous attempts to regularize 3D Gaussian normals often degrade rendering quality due to the fundamental disconnect between normal vectors and the rendering pipeline in 3DGS-based methods.
Neural Information Processing Systems
Nov-20-2025, 13:22:30 GMT
- Country:
- Asia > Japan
- Honshū > Chūbu > Ishikawa Prefecture > Kanazawa (0.04)
- North America > United States
- Oklahoma > Beaver County (0.04)
- Asia > Japan
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Information Technology (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning > Neural Networks (1.00)
- Representation & Reasoning (1.00)
- Vision (1.00)
- Information Technology > Artificial Intelligence