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3D Shape Recognition

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Papers

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Showing 1–35 of 35 papers

TitleStatusHype
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
Points to Patches: Enabling the Use of Self-Attention for 3D Shape RecognitionCode1
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of GarmentsCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary ViewsCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
View-GCN: View-Based Graph Convolutional Network for 3D Shape AnalysisCode1
On Learning Sets of Symmetric ElementsCode1
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural NetworksCode1
Shape and Texture Recognition in Large Vision-Language ModelsCode0
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data—0
PEVA-Net: Prompt-Enhanced View Aggregation Network for Zero/Few-Shot Multi-View 3D Shape Recognition—0
Group Multi-View Transformer for 3D Shape Analysis with Spatial EncodingCode0
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition—0
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding—0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views—0
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition—0
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition—0
Learning Attentive and Hierarchical Representations for 3D Shape Recognition—0
Invariant 3D Shape Recognition using Predictive Modular Neural Networks—0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition—0
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition—0
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes—0
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition—0
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition—0
Multiview Based 3D Scene Understanding On Partial Point Sets—0
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape RecognitionCode0
Learning Discriminative 3D Shape Representations by View Discerning NetworksCode0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition—0
Beam Search for Learning a Deep Convolutional Neural Network of 3D ShapesCode0
Multi-view Convolutional Neural Networks for 3D Shape Recognition—0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations—0
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