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3D Object Reconstruction On Data3Dr2N2

Metrics

Avg F1

Results

Performance results of various models on this benchmark

Model Name
Avg F1
Paper TitleRepository
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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3D Object Reconstruction On Data3Dr2N2 | SOTA | HyperAI