Count on Latent Diffusion Models reasoning evaluation set
140Human CountHumans
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| HumansText Encoder=T52023.11 | 140 | — | — | — | — | — | |
| HumansText Encoder=CLIP2023.11 | 11 | — | — | — | — | — | |
| CLIPScoreText Encoder=CLIP2023.11 | — | 0.76 | — | — | — | — | |
| CLIPScoreText Encoder=T52023.11 | — | 0.8 | — | — | — | — | |
| LLMScoreText Encoder=CLIP2023.11 | — | — | — | — | 9.6 | — | |
| LLMScoreText Encoder=T52023.11 | — | — | — | — | 8.4 | — | |
| MIDText Encoder=CLIP2023.11 | — | — | -21,000 | — | — | — | |
| MIDText Encoder=T52023.11 | — | — | -7,600 | — | — | — | |
| SELFEVALText Encoder=CLIP2023.11 | — | — | — | — | — | 24.4 | |
| SELFEVALText Encoder=T52023.11 | — | — | — | — | — | 26.3 | |
| VPEvalText Encoder=CLIP2023.11 | — | — | — | 64.7 | — | — | |
| VPEvalText Encoder=T52023.11 | — | — | — | 18.9 | — | — |