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3D Shape Representation

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Papers

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Showing 1–50 of 92 papers

TitleStatusHype
MASH: Masked Anchored SpHerical Distances for 3D Shape Representation and Generation—0
SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling—0
PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and OptimizationCode1
MIRE: Matched Implicit Neural Representations—0
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries—0
Self-supervised Graph Neural Network for Mechanical CAD Retrieval—0
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model—0
Unsupervised Occupancy Learning from Sparse Point CloudCode1
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding—0
TIFu: Tri-directional Implicit Function for High-Fidelity 3D Character Reconstruction—0
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans—0
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation—0
Mosaic-SDF for 3D Generative Models—0
ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation—0
EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape GenerationCode1
RayDF: Neural Ray-surface Distance Fields with Multi-view ConsistencyCode1
ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy FieldsCode0
On the Localization of Ultrasound Image Slices within Point Distribution ModelsCode0
Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric MapCode1
Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects—0
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification—0
3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing CapabilityCode1
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane—0
3D VR Sketch Guided 3D Shape Prototyping and ExplorationCode1
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingCode2
CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes—0
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion ModelsCode2
DMNet: Delaunay Meshing Network for 3D Shape RepresentationCode1
Multiplicative Fourier Level of Detail—0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Multi-View Photometric Stereo Revisited—0
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction—0
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape GenerationCode1
NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation—0
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues—0
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code CloudsCode1
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture—0
Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series—0
Cloud Sphere: A 3D Shape Representation via Progressive Deformation—0
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning—0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views—0
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation—0
Multiresolution Deep Implicit Functions for 3D Shape Representation—0
3DIAS: 3D Shape Reconstruction with Implicit Algebraic SurfacesCode1
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary ViewsCode1
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction—0
ACORN: Adaptive Coordinate Networks for Neural Scene RepresentationCode1
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion—0
Dual Mesh Convolutional Networks for Human Shape Correspondence—0
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