Image Generation on DrawBench (Aesthetic, DeQA, ImgRwd, PickScore, UniRwd)
5.45Aesthetic ScoreTDM-R1 (Ours)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TDM-R1 (Ours)NFE=4, Context=Visual Text Rendering2026.03 | 5.45 | 4.11 | 1.09 | 22.62 | 3.51 | |
| TDM-R1 (Ours)NFE=4, Context=Compositional Image Generation2026.03 | 5.42 | 4.07 | 1.11 | 22.39 | 3.55 | |
| TDM-SD3.5-MNFE=42026.03 | 5.41 | 4.05 | 0.99 | 22.36 | 3.3 | |
| p_ϕ in Surrogate RewardNFE=80, Context=Visual Text Rendering2026.03 | 5.41 | 4.05 | 0.98 | 22.37 | 3.43 | |
| SD3.5-MNFE=802026.03 | 5.39 | 4.07 | 0.87 | 22.34 | 3.33 | |
| DGPONFE=80, Optimized For=OCR Acc.2026.03 | 5.37 | 4.09 | 1.02 | 22.52 | 3.48 | |
| p_ϕ in Surrogate RewardNFE=80, Context=Compositional Image Generation2026.03 | 5.35 | 4.01 | 0.94 | 22.31 | 3.48 | |
| Flow-GRPONFE=80, Optimized For=OCR Acc.2026.03 | 5.32 | 4.06 | 0.95 | 22.44 | 3.42 | |
| DGPONFE=80, Optimized For=GenEval2026.03 | 5.31 | 4.03 | 1.08 | 22.41 | 3.6 | |
| Flow-GRPONFE=80, Optimized For=GenEval2026.03 | 5.25 | 4.01 | 1.03 | 22.37 | 3.51 |