Researchers propose generation pathways to improve fine-grained visual understanding in UMMs

Fine-grained visual understanding requires distinguishing subtle local attributes and spatial relations, which current vision-language models struggle with. The paper proposes using generation pathways in unified multimodal models to preserve rich visual information for better understanding.