llava-next (3) 썸네일형 리스트형 [LLaVA-Video 논문 리뷰] - VIDEO INSTRUCTION TUNING WITH SYNTHETIC DATA *LLaVA-Video를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! LLaVA-Video paper: https://arxiv.org/abs/2410.02713 Video Instruction Tuning With Synthetic DataThe development of video large multimodal models (LMMs) has been hindered by the difficulty of curating large amounts of high-quality raw data from the web. To address this, we propose an alternative approach by creating a high-quality synthetic dataset .. [LLaVA-OneVision 논문 리뷰] - LLaVA-OneVision: Easy Visual Task Transfer *LLaVA-OneVision를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! LLaVA-OneVision paper: https://arxiv.org/abs/2408.03326 LLaVA-OneVision: Easy Visual Task TransferWe 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-OneVisi.. [LLaVA-NeXT 논문 리뷰] - Improved Baselines with Visual Instruction Tuning *LLaVA-NeXT를 위한 논문 리뷰 글입니다! 궁금하신 점은 댓글로 남겨주세요! LLaVA-Next Github: https://github.com/LLaVA-VL/LLaVA-NeXT GitHub - LLaVA-VL/LLaVA-NeXTContribute to LLaVA-VL/LLaVA-NeXT development by creating an account on GitHub.github.com LLaVA-1.5 paper: https://arxiv.org/abs/2310.03744LLaVA-Next (1.6) blog: https://llava-vl.github.io/blog/2024-01-30-llava-next/Contents1. Simple Introduction2. Background Knowl.. 이전 1 다음
