Aligned SDF network weights, conditioned on pose by a hypernetwork, act as a continuous 3D shape representation that performs well on classification, retrieval, and pose estimation.
Hyperdiffusion: Generating im- plicit neural fields with weight-space diffusion
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Level-Set Parameters: Novel Representation for 3D Shape Analysis
Aligned SDF network weights, conditioned on pose by a hypernetwork, act as a continuous 3D shape representation that performs well on classification, retrieval, and pose estimation.