An Extensive Benchmark for Single-round and Multi-round Instruction-based Image Editing
单轮与多轮指令式图像编辑的广泛基准
机构 * Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University(厦门大学多媒体可信感知与高效计算教育部重点实验室) ; National University of Singapore(新加坡国立大学)
AI总结 提出I2EBench2.0基准,通过16个单轮和7个多轮维度评估指令式图像编辑模型,结合用户研究确保与人类判断一致,并基于八种模型分析提供研究指导。
Comments Accepted by International Journal of Computer Vision (IJCV), 2026