DenseMLLM

DenseMLLM: Standard Multimodal LLMs for Dense Prediction

arXiv:2602.14134v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have demonstrated exceptional capabilities in high-level visual understanding. However, extending these models to fine-grained dense prediction tasks, such as semantic segmentation and depth estimation, typically necessitates the incorporation of complex, task-specific decoders and other customizations. This architectural fragmentation increases model complexity and deviates from the generalist...