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SOTA
3D Reconstruction
3D Reconstruction On Data3Dr2N2
3D Reconstruction On Data3Dr2N2
Metrics
3DIoU
Results
Performance results of various models on this benchmark
Columns
Model Name
3DIoU
Paper Title
AttSets
0.642
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
PSGN
0.640
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
OGN
0.596
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
3D-R2N2
0.560
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
0 of 4 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
3D Reconstruction
3D Reconstruction On Data3Dr2N2
3D Reconstruction On Data3Dr2N2
Metrics
3DIoU
Results
Performance results of various models on this benchmark
Columns
Model Name
3DIoU
Paper Title
AttSets
0.642
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
PSGN
0.640
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
OGN
0.596
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
3D-R2N2
0.560
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
0 of 4 row(s) selected.
Previous
Next
3D Reconstruction On Data3Dr2N2 | SOTA | HyperAI