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3D Shape Representation

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Papers

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Showing 76–92 of 92 papers

TitleStatusHype
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation—0
Learning Attentive and Hierarchical Representations for 3D Shape Recognition—0
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation—0
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification—0
Learning Occupancy Function from Point Clouds for Surface Reconstruction—0
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation—0
Local Implicit Grid Representations for 3D Scenes—0
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation—0
MIRE: Matched Implicit Neural Representations—0
Mosaic-SDF for 3D Generative Models—0
Multiplicative Fourier Level of Detail—0
Multiresolution Deep Implicit Functions for 3D Shape Representation—0
Multi-View Photometric Stereo Revisited—0
NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation—0
Novel View Synthesis from Single Images via Point Cloud Transformation—0
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction—0
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues—0
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