Parrot
Multi-objective reinforcement learning framework, text-to-image generation
Product Details
Parrot is a multi-objective reinforcement learning framework designed for text-to-image generation. It automatically identifies the best trade-offs between different rewards in the RL optimization process generated by T2I through batch Pareto optimal selection. In addition, Parrot adopts a joint optimization method of T2I model and prompt expansion network, which promotes the generation of quality-aware text prompts, thereby further improving the final image quality. To counteract the potentially catastrophic forgetting of the original user prompt due to prompt expansion, we introduce original prompt centered guidance at inference time to ensure that the generated images are faithful to the user input. Extensive experiments and user studies show that Parrot outperforms several baseline methods on various quality criteria, including aesthetics, human preference, image sentiment, and text-image alignment.
Main Features
Target Users
Parrot can be used to generate high-quality images that meet user expectations and is suitable for literary creation, design, advertising and other fields.
Examples
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