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Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
March 22, 2024, 4:46 a.m. | Peng Jin, Ryuichi Takanobu, Wancai Zhang, Xiaochun Cao, Li Yuan
cs.CV updates on arXiv.org arxiv.org
Abstract: Large language models have demonstrated impressive universal capabilities across a wide range of open-ended tasks and have extended their utility to encompass multimodal conversations. However, existing methods encounter challenges in effectively handling both image and video understanding, particularly with limited visual tokens. In this work, we introduce Chat-UniVi, a Unified Vision-language model capable of comprehending and engaging in conversations involving images and videos through a unified visual representation. Specifically, we employ a set of dynamic …
arxiv chat cs.cv image language language models large language large language models representation type understanding video video understanding visual
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