PaCo-RL: Enhancing Image Generation Consistency with Reinforcement Learning

This ArXiv paper introduces PaCo-RL, a novel approach to improve image generation consistency using pairwise reward modeling within a reinforcement learning framework. The research suggests a promising method for enhancing the quality of generated images by addressing the challenges of variability and lack of control in current image generation models.

• •PaCo-RL employs pairwise reward modeling for consistent image generation.
• •The approach leverages reinforcement learning to improve image quality.
• •This research addresses challenges in variability within existing image generation models.