Text To 3D On T 3 Bench
Metrics
Avg
Results
Performance results of various models on this benchmark
Model Name | Avg | Paper Title | Repository |
|---|---|---|---|
| DreamFusion | 21.7 | DreamFusion: Text-to-3D using 2D Diffusion | - |
| LatentNeRF | 28.1 | Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures | - |
| ProlificDreamer | 43.3 | - | - |
| SJC | 18.7 | Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation | - |
| Fantasia3D | 24.0 | Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation | - |
| Magic3D | 32.7 | Magic3D: High-Resolution Text-to-3D Content Creation | - |
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