MinCU: A Fine-Grained Benchmark for Grounded Minimal-Change Understanding in Image Pairs

Chaoqian Mu, Wenhao Wu, Zichen Liang +4

Localizing and describing fine-grained differences between near-identical images is a critical yet underexplored capability for multimodal large language models (MLLMs). Existing b…