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Found 2 papers, 1 papers with code
CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes
We introduce CN-DHF (Compact Neural Double-Height-Field), a novel hybrid neural implicit 3D shape representation that is dramatically more compact than the current state of the art.
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
Reconstruction of a 3D shape from a single 2D image is a classical computer vision problem, whose difficulty stems from the inherent ambiguity of recovering occluded or only partially observed surfaces.
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