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Found 2 papers, 1 papers with code
Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
We introduce Explicit Neural Surfaces (ENS), an efficient smooth surface representation that directly encodes topology with a deformation field from a known base domain.
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields
A modest neural network is trained on the input planes to return an inside/outside estimate for a given 3D coordinate, yielding a powerful prior that induces smoothness and self-similarities.
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