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3D Shape Recognition

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Papers

Showing 125 of 35 papers

TitleStatusHype
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary ViewsCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
View-GCN: View-Based Graph Convolutional Network for 3D Shape AnalysisCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of GarmentsCode1
On Learning Sets of Symmetric ElementsCode1
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural NetworksCode1
Points to Patches: Enabling the Use of Self-Attention for 3D Shape RecognitionCode1
Learning Attentive and Hierarchical Representations for 3D Shape Recognition0
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition0
MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition0
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data0
Multi-view Convolutional Neural Networks for 3D Shape Recognition0
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition0
PEVA-Net: Prompt-Enhanced View Aggregation Network for Zero/Few-Shot Multi-View 3D Shape Recognition0
Multiview Based 3D Scene Understanding On Partial Point Sets0
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition0
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes0
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval0
Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition0
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