VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments

arXiv:2404.02508v1 Announce Type: cross
Abstract: Individuals with visual impairments, encompassing both partial and total difficulties in visual perception, are referred to as visually impaired (VI) people. An estimated 2.2 billion individuals worldwide are affected by visual impairments. Recent advancements in multi-modal large language models (MLLMs) have showcased their extraordinary capabilities across various domains. It is desirable to help VI individuals with MLLMs' great capabilities of visual understanding and reasoning. However, it is challenging for VI people to use MLLMs due …

abstract arxiv billion cs.ai cs.cv cs.lg language language models large language large language models mllms modal multi-modal people perception total type visual