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arXiv · 2408.03326

LLaVA-OneVision: Easy Visual Task Transfer

Bo Li·Yuanhan Zhang·Dong Guo·Renrui Zhang·Feng Li·Hao Zhang·Kaichen Zhang·Peiyuan Zhang·Yanwei Li·Ziwei Liu·Chunyuan Li
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Abstract

We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our experimental results demonstrate that LLaVA-OneVision is the first single model that can simultaneously push the performance boundaries of open LMMs in three important computer vision scenarios: single-image, multi-image, and video scenarios. Importantly, the design of LLaVA-OneVision allows strong transfer learning across different modalities/scenarios, yielding new emerging capabilities. In particular, strong video understanding and cross-scenario capabilities are demonstrated through task transfer from images to videos.

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Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li. 2024-08-06. LLaVA-OneVision: Easy Visual Task Transfer. https://arxiv.org/abs/2408.03326

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