DIB-R

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

ReconstructiononShapeNet
F-Score· 2019-08-03
0.558
SOTA
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer arXiv:1908.01210
Single-View 3D ReconstructiononShapeNet
F-Score· 2019-08-03
0.558
SOTA
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer arXiv:1908.01210
ReconstructiononShapeNet
3DIoU· 2019-08-03
0.612
best: 0.6674 (SDFDiff)
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer arXiv:1908.01210
Single-View 3D ReconstructiononShapeNet
3DIoU· 2019-08-03
0.612
best: 0.6674 (SDFDiff)
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer arXiv:1908.01210

Methodology2 results

3DonShapeNet
F-Score· 2019-08-03
0.558
SOTA
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer arXiv:1908.01210
3DonShapeNet
3DIoU· 2019-08-03
0.612
best: 0.6674 (SDFDiff)
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer arXiv:1908.01210