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3D Object Reconstruction On Data3Dr2N2

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Avg F1

Results

Performance results of various models on this benchmark

Paper Title
3D-R2N239.013D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Pixel2Mesh59.72Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Matryoshka Networks-Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
3D-R2N2-3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Pix2Vox++/A-Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
PSGN-A Point Set Generation Network for 3D Object Reconstruction from a Single Image
N3MR33.80Neural 3D Mesh Renderer
Pix2Vox-A-Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
MVD66.39Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
PSGN48.58A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Pix2Vox-F-Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
UMIFormer-UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
Pix2Vox++/F-Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
GEOMetrics67.37GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
LRGT-Long-Range Grouping Transformer for Multi-View 3D Reconstruction
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