PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
European Conference on Computer Vision(2020)
摘要
Implicit surface representations, such as signed-distance functions, combined with deep learning have led to impressive models which can represent detailed shapes of objects with arbitrary topology. Since a continuous function is learned, the reconstructions can also be extracted at any arbitrary resolution. However, large datasets such as ShapeNet are required to train such models.
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关键词
shape,3d,implicit,patch-based
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