Multi-Reward Alignment on DiffusionDB 300 randomly selected prompts
79.57Win RatePareto-Guided Optimal Transport
Evaluation Results
| Method | Links | |
|---|---|---|
| Pareto-Guided Optimal TransportBaseline=Multi-2323, Evaluator=Human Experts2026.05 | 79.57 | |
| Pareto-Guided Optimal TransportBaseline=SD3.5-Turbo, Evaluator=Human Experts2026.05 | 76.34 | |
| Pareto-Guided Optimal TransportBaseline=HPS, Evaluator=Human Experts2026.05 | 74.19 | |
| Pareto-Guided Optimal TransportBaseline=Soup-1:1:1:1, Evaluator=Human Experts2026.05 | 74.19 | |
| Pareto-Guided Optimal TransportBaseline=Weighted-Sum Bounds, Evaluator=Human Experts2026.05 | 73.12 | |
| Pareto-Guided Optimal TransportBaseline=Separate-Constraints, Evaluator=Human Experts2026.05 | 68.82 | |
| Pareto-Guided Optimal TransportBaseline=HP, Evaluator=Human Experts2026.05 | 61.29 |