LLaVA-OneVision: Easy Visual Task Transfer
<|reference_start|>LLaVA-OneVision: Easy Visual Task Transfer: 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.<|reference_end|>
@article{li2024llava-onevision:,
    title={LLaVA-OneVision: Easy Visual Task Transfer},
    author={Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang,
  Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li},
    journal={arXiv preprint arXiv:2408.03326},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.03326},
    primaryClass={cs.CV cs.AI cs.CL}
}