PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning
arXiv:2604.12652v1 Announce Type: cross
Abstract: Reinforcement learning (RL) can improve the prompt following capability of text-to-image (T2I) models, yet obtaining high-quality reward signals remains challenging: CLIP Score is too coarse-grained, w…