English

LLaVA-OneVision: Easy Visual Task Transfer

Computer Vision and Pattern Recognition 2024-10-29 v3 Artificial Intelligence Computation and Language

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.

Keywords

Cite

@article{arxiv.2408.03326,
  title  = {LLaVA-OneVision: Easy Visual Task Transfer},
  author = {Bo Li and Yuanhan Zhang and Dong Guo and Renrui Zhang and Feng Li and Hao Zhang and Kaichen Zhang and Peiyuan Zhang and Yanwei Li and Ziwei Liu and Chunyuan Li},
  journal= {arXiv preprint arXiv:2408.03326},
  year   = {2024}
}

Comments

Project Homepage: https://llava-vl.github.io/blog/2024-08-05-llava-onevision/

R2 v1 2026-06-28T18:05:38.332Z