GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing
By: Mingxin Liu, Ziqian Fan, Zhaokai Wang, Leyao Gu, Zirun Zhu, Yiguo He, Yuchen Yang, Changyao Tian, Xiangyu Zhao, Ning Liao, Shaofeng Zhang, Qibing Ren, Zhihang Zhong, Xuanhe Zhou, Junchi Yan, Xue Yang
Published: 2026-03-13
View on arXiv →#cs.CV
Abstract
This paper introduces GRADE, a benchmark for evaluating discipline-informed reasoning in image editing. It provides a structured framework to assess how well AI models understand and apply domain-specific rules during image manipulation, which is vital for professional artistic and design applications.