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3D Shape Representation

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Showing 26–50 of 92 papers

TitleStatusHype
Occupancy Networks: Learning 3D Reconstruction in Function SpaceCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationCode1
3D ShapeNets: A Deep Representation for Volumetric ShapesCode1
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
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences—0
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications—0
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders—0
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning—0
A generalized parametric 3D shape representation for articulated pose estimation—0
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction—0
ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation—0
Cloud Sphere: A 3D Shape Representation via Progressive Deformation—0
CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes—0
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