Groma: Localized Visual Tokenization for Grounding Multimodal Large
Language Models
Groma: Localized Visual Tokenization for Grounding Multimodal Large
Language Models
We introduce Groma, a Multimodal Large Language Model (MLLM) with grounded and fine-grained visual perception ability. Beyond holistic image understanding, Groma is adept at region-level tasks such as region captioning and visual grounding. Such capabilities are built upon a localized visual tokenization mechanism, where an image input is decomposed into …