[R] SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Computer vision researchers developed a way to create detailed 3D models from images in just minutes on a single GPU. Their method, called SuGaR, works by optimizing millions of tiny particles to match images of a scene. The key innovation is getting the particles to align to surfaces so they can be easily turned into a mesh.

Traditionally 3D modeling is slow and resource heavy. Laser scans are unwieldy. Photogrammetry point clouds lack detail. And neural radiance fields like NeRF …

3d models computer computer vision gpu images innovation machinelearning match mesh quality rendering researchers surface the key vision