ReasonEdit: Towards Interpretable Image Editing Evaluation via Reinforcement Learning
arXiv:2605.07477v1 Announce Type: new
Abstract: Recent text-guided image editing (TIE) models have achieved remarkable progress, however, many edited results still suffer from artifacts, unintended modifications, and suboptimal aesthetics. Although se…