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Awesome GitHub RepositoriesResolution Upsamplers
Tools for increasing the point density of existing 3D point clouds.
Distinct from Point Cloud Processing: Specifically increases resolution rather than filtering or segmenting
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Awesome Resolution Upsamplers GitHub Repositories
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- openai/point-e
openai/point-e
6,886在 GitHub 上查看Point-e is a system for 3D model synthesis that generates three-dimensional point clouds from natural language descriptions and two-dimensional images. It utilizes diffusion models to synthesize these spatial representations based on text prompts or source images. The project includes specialized tools for refining these outputs, such as a point cloud upsampler to increase the density and resolution of low-resolution models. It also provides a mesh converter that uses distance function regression to transform raw point cloud data into structured 3D meshes. The broader capability surface cove
Increases the density of a point cloud by expanding low-resolution sets into higher-resolution sets
Python
