LLaVA-OneVision: Easy Visual Task Transfer

Li, Bo, Zhang, Yuanhan, Guo, Dong, Zhang, Renrui, Li, Feng, Zhang, Hao, Zhang, Kaichen, Li, Yanwei, Liu, Ziwei, Li, Chunyuan

arXiv.org Artificial Intelligence 

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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