zai-org/ImageReward
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
Trains on 137k expert preference comparisons to score text-to-image outputs, outperforming CLIP and BLIP-based metrics by 30-40%. Provides ReFL (Reward Feedback Learning) for direct diffusion model fine-tuning via reinforcement learning, improving Stable Diffusion win rates by 58.4% in human evaluation. Integrates with Stable Diffusion Web UI and HuggingFace ecosystem via a lightweight PyPI package with three-line inference API.
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Oct 29, 2025
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