3D Shape Generation on ShapeNet Car PointFlow (test)
89.771-NNA-CDTreeGAN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TreeGAN2022.10 | 89.77 | 1.1418 | 1.0632 | 40.06 | 31.53 | 94.89 | |
| TreeGANNormalization=Individual2022.10 | 89.77 | — | — | — | — | 94.89 | |
| PDGN2022.10 | 89.35 | 1.1837 | 1.0626 | 31.25 | 25 | 87.22 | |
| PDGNNormalization=Individual2022.10 | 89.35 | — | — | — | — | 87.22 | |
| SP-GAN2022.10 | 87.36 | 1.1676 | 1.0211 | 34.94 | 31.82 | 85.94 | |
| SP-GANNormalization=Individual2022.10 | 87.36 | — | — | — | — | 85.94 | |
| GCA2022.10 | 70.45 | 1.0744 | 0.8666 | 42.05 | 48.58 | 64.2 | |
| GCANormalization=Individual2022.10 | 70.45 | — | — | — | — | 64.2 | |
| ShapeGF2022.10 | 61.79 | 1.02 | 0.8239 | 44.03 | 47.16 | 57.24 | |
| ShapeGFNormalization=Individual2022.10 | 61.79 | — | — | — | — | 57.24 | |
| LION2022.10 | 59.52 | 1.0635 | 0.8075 | 42.9 | 50.85 | 49.29 | |
| LIONNormalization=Individual2022.10 | 59.52 | — | — | — | — | 49.29 | |
| train set2022.10 | 55.11 | 1.04 | 0.8111 | 50.28 | 53.69 | 49.86 |