3D Shape Generation on ShapeNet Car v2 (test)
48.241-NNA (CD)DiT-3D
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DiT-3DDiffusion state=voxels (32^3×3), Size (KB)=384, Inference (s/shape)=12*2026.06 | 48.24 | 50 | |
| LIONDiffusion state=latent (128+8192), Size (KB)=33, Inference (s/shape)=27.122026.06 | 53.41 | 50 | |
| TIGERDiffusion state=points (2048×3), Size (KB)=24, Inference (s/shape)=9.732026.06 | 54.31 | — | |
| PVDDiffusion state=points (2048×3), Size (KB)=24, Inference (s/shape)=29.92026.06 | 54.55 | 41.19 | |
| DoSsDiffusion state=superquadrics (128×15), Size (KB)=7, Inference (s/shape)=0.62026.06 | 57.5 | 49.26 | |
| DPMDiffusion state=points (2048×3), Size (KB)=24, Inference (s/shape)=22.82026.06 | 68.89 | 44.03 | |
| MeshDiffusionDiffusion state=hybrid (64^3×4), Size (KB)=40962026.06 | 81.43 | 34.07 |