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- imageprocessing
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목록tilebasedrasterizer (2)
Wiredwisdom

Our goals are to have fast overall rendering and fast sorting to allow approximate 𝛼-blending – including for anisotropic splats – and to avoid hard limits on the number of splats that can receive gradients that exist in previous work [Lassner and Zollhofer 2021]. To achieve these goals, we design a tile-based rasterizer for Gaussian splats inspired by recent software rasterization approaches [..

This flowchart presents a detailed comparison between 3D Gaussian Splatting and Neural Radiance Fields (NeRF), highlighting the complete pipeline and advantages of 3D Gaussian Splatting. The diagram illustrates multiple interconnected workflows and technical comparisons.The process begins with SFM (Structure from Motion) generating point clouds, which are then converted into 3D Gaussians with th..