SE-ORNet (Trained on Surreal)

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Methodology2 results

3DonSHREC'19
Accuracy at 1%· uses extra data· 2023-04-10
21.5
best: 26.4 (Diffusion 3D Features (Zero-shot))
SOTA
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence arXiv:2304.05395
3DonSHREC'19
Euclidean Mean Error (EME)· uses extra data· 2023-04-10
4.6
best: 1.7 (Diffusion 3D Features (Zero-shot))
SOTA
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence arXiv:2304.05395

Computer Vision2 results

3D Shape RepresentationonSHREC'19
Accuracy at 1%· uses extra data· 2023-04-10
21.5
best: 26.4 (Diffusion 3D Features (Zero-shot))
SOTA
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence arXiv:2304.05395
3D Shape RepresentationonSHREC'19
Euclidean Mean Error (EME)· uses extra data· 2023-04-10
4.6
best: 1.7 (Diffusion 3D Features (Zero-shot))
SOTA
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence arXiv:2304.05395