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- SuGaR is a method that uses 3D blobs (Gaussians) to capture scene details and make quick and accurate 3D models123. It aligns Gaussians closer with underlying surfaces, which then allows extracting the mesh, which then allows it to be animated or skinned3. A special rule (regularization term) helps distribute Gaussians evenly over the scene surface1. The method samples visible points and use Poisson's reconstruction to form a triangle mesh1.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.SuGaR is a method that makes quick and accurate 3D models. It uses 3D blobs (Gaussians) to capture scene details. A special rule (regularization term) helps distribute Gaussians evenly over the scene surface. The method samples visible points and use Poisson's reconstruction to form a triangle mesh.synthical.com/article/b18bd5e6-568f-4e7e-b087-04…The method, referred to as SuGaR, allows for fast retrieval of meshes from Gaussian Splatting, vastly outperforming Neural Radiance Fields (NeRFs). SuGaR has not only shown impressive outcomes in terms of render quality but also in terms of efficiency, demonstrating the ability to operate significantly faster on a single GPU.www.emergentmind.com/papers/2311.12775SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering aligns gaussians closer with underlying surfaces, which then allows extracting the mesh, which then allows it to be animated or skinned. The final mesh still has gaussian splats “attached” to the polygons.aras-p.info/blog/2023/12/08/Gaussian-explosion/
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