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Models/Diffusion Unit

Diffusion Unit

Reported on 10 benchmarks across 2 tasks · 1 paper

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

Medical5 results

Semantic SegmentationonS3DIS Area5
mAcc· 2022-09-20
78.1
best: 81.6 (Sonata + PTv3)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
Semantic SegmentationonS3DIS Area5
mIoU· 2022-09-20
72.2
best: 76 (Sonata + PTv3)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
Semantic SegmentationonS3DIS Area5
oAcc· 2022-09-20
91.3
best: 93 (Sonata + PTv3)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
Semantic SegmentationonShapeNet-Part
Class Average IoU· 2022-09-20
85.2
best: 87.7 (Feature Geometric Net (FG-Net))
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
Semantic SegmentationonShapeNet-Part
Instance Average IoU· 2022-09-20
87.1
best: 89.1 (GeomGCNN)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483

Audio5 results

10-shot image generationonS3DIS Area5
mAcc· 2022-09-20
78.1
best: 81.6 (Sonata + PTv3)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
10-shot image generationonS3DIS Area5
mIoU· 2022-09-20
72.2
best: 76 (Sonata + PTv3)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
10-shot image generationonS3DIS Area5
oAcc· 2022-09-20
91.3
best: 93 (Sonata + PTv3)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
10-shot image generationonShapeNet-Part
Class Average IoU· 2022-09-20
85.2
best: 87.7 (Feature Geometric Net (FG-Net))
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483
10-shot image generationonShapeNet-Part
Instance Average IoU· 2022-09-20
87.1
best: 89.1 (GeomGCNN)
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation arXiv:2209.09483