Self-augmented Gaussian Splatting with Structure-aware Masks for Sparse-view 3D Reconstruction
Sparse-view 3D reconstruction stands as a formidable challenge in computer vision, aiming to build complete three-dimensional models from a limited array of viewing perspectives. This task confronts several difficulties: 1) the limited number of input images that lack consistent information; 2) depe...
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Published in | arXiv.org |
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Main Authors | , , |
Format | Paper |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
14.08.2024
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Subjects | |
Online Access | Get full text |
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