Unsupervised Representation Learning on ModelNet10 (test)
95.4Accuracyl-GAN (EMD)
Evaluation results
| Method | Links | |
|---|---|---|
| l-GAN (EMD)Evaluation Source=Reported in original paper2019.06 | 95.4 | |
| l-GAN (CD)Evaluation Source=Reported in original paper2019.06 | 95.4 | |
| FoldingNetEvaluation Source=Reported in original paper2019.06 | 94.4 | |
| PointFlowEncoder=PointFlow Architecture, Preprocessing=Current paper protocol2019.06 | 93.7 | |
| l-GAN (CD)Evaluation Source=Current paper re-evaluation, Encoder=Same as PointFlow, Preprocessing=Official code on current dataset2019.06 | 92.8 | |
| l-GAN (EMD)Evaluation Source=Current paper re-evaluation, Encoder=Same as PointFlow, Preprocessing=Official code on current dataset2019.06 | 92.2 | |
| 3D-GANEvaluation Source=Reported in original paper2019.06 | 91 | |
| VConv-DAEEvaluation Source=Reported in original paper2019.06 | 80.5 | |
| LFDEvaluation Source=Reported in original paper2019.06 | 79.9 | |
| SPHEvaluation Source=Reported in original paper2019.06 | 79.8 |