Text-to-Image on GenAI-Bench 19 (test)
78.2VQAScoreIndividual Expert (Flow-GRPO)
Evaluation Results
| Method | Links | |
|---|---|---|
| Individual Expert (Flow-GRPO)Backbone=SD 3.5 M, Reward=GenEval2025.11 | 78.2 | |
| MapReduce LoRABackbone=SD 3.5 M2025.11 | 78.2 | |
| MORL-DBackbone=SD 3.5 M2025.11 | 77.7 | |
| MapReduce LoRA + RaTEBackbone=SD 3.5 M2025.11 | 77.7 | |
| MapReduce LoRABackbone=FLUX.1-dev2025.11 | 77.5 | |
| Individual Expert (Flow-GRPO)Backbone=SD 3.5 M, Reward=PickScore2025.11 | 77.4 | |
| Rewarded SoupBackbone=SD 3.5 M2025.11 | 77.2 | |
| Individual Expert (Flow-GRPO)Backbone=FLUX.1-dev, Reward=PickScore2025.11 | 77.2 | |
| Rewarded SoupBackbone=FLUX.1-dev2025.11 | 76.7 | |
| Individual Expert (Flow-GRPO)Backbone=FLUX.1-dev, Reward=GenEval2025.11 | 76.4 | |
| Individual Expert (Flow-GRPO)Backbone=SD 3.5 M, Reward=OCR2025.11 | 75 | |
| Individual Expert (Flow-GRPO)Backbone=FLUX.1-dev, Reward=OCR2025.11 | 74.9 | |
| MORL-DRBackbone=SD 3.5 M2025.11 | 74.6 | |
| MORL-DRBackbone=FLUX.1-dev2025.11 | 74.5 | |
| SD 3.5 MBackbone=SD 3.5 M2025.11 | 74.4 | |
| FLUX.1-devBackbone=FLUX.1-dev2025.11 | 73.7 | |
| MORL-DBackbone=FLUX.1-dev2025.11 | 73.3 |