3D Shape Modeling and Analysis
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Scope of this subject
This cluster of papers focuses on the analysis, reconstruction, and representation of three-dimensional shapes using deep learning techniques, point clouds, and mesh processing. It covers topics such as 3D classification, segmentation, object recognition, shape reconstruction from single images, surface parameterization, mesh deformation, and texture mapping.
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Research vocabulary
3D Gaussian Splatting; point cloud registration; neural radiance fields; novel view synthesis; 3D model retrieval; point cloud segmentation; iterative closest point; 3D shape reconstruction; point cloud classification; 3D scene reconstruction; 3D object recognition; 3D model reconstruction; single-image 3D reconstruction; 3D shape representation; surface normal estimation; signed distance function; point cloud completion; implicit neural representations; point cloud reconstruction; 3D object reconstruction; PointNet; text-to-3D generation; point cloud semantic segmentation; point cloud denoising; mesh segmentation
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Numeric address and provenance
Morton address: 36239940967649017 · morton4x16-v1
Coordinates: (3, 22, 2206, 10719). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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