Shape Reasoning on Latent Diffusion Models reasoning evaluation set
48HumansHumans
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| HumansText Encoder=T52023.11 | 48 | — | — | — | — | — | |
| HumansText Encoder=CLIP2023.11 | 25 | — | — | — | — | — | |
| CLIPScoreText Encoder=CLIP2023.11 | — | 0.76 | — | — | — | — | |
| CLIPScoreText Encoder=T52023.11 | — | 0.86 | — | — | — | — | |
| LLMScoreText Encoder=CLIP2023.11 | — | — | — | — | 11.6 | — | |
| LLMScoreText Encoder=T52023.11 | — | — | — | — | 10.6 | — | |
| MIDText Encoder=CLIP2023.11 | — | — | -1,100 | — | — | — | |
| MIDText Encoder=T52023.11 | — | — | -2,100 | — | — | — | |
| SELFEVALText Encoder=CLIP2023.11 | — | — | — | — | — | 33.8 | |
| SELFEVALText Encoder=T52023.11 | — | — | — | — | — | 33.5 | |
| VPEvalText Encoder=CLIP2023.11 | — | — | — | 92.9 | — | — | |
| VPEvalText Encoder=T52023.11 | — | — | — | 92.2 | — | — |