本文提出了一种新型通用模型,即Video-3D LLM,用于三维场景理解。该模型将三维场景视为动态视频,并在表征中融入三维位置编码,从而更准确地将视频表征与现实世界的空间上下文对齐。 Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding Duo Zheng,Shijia Huang,Liwei Wang The rapid a...
二、VideoLLM:基于LLM建模视频序列 论文名称:VideoLLM: Modeling Video Sequence with Large Language Models 论文地址:https://arxiv.org/pdf/2305.13292 1. 简介 VideoLLM的目标是通过参数高效迁移学习将LLM应用在视频序列理解人物上。其直接将LLM的序列建模能力带到视频序列理解中,让视觉以语言的形式在自然时间...
LayerSkip.类似于以前LLM研究[14]中的方法,作者将其适应到在线场景中,跳过所有其他层的视觉标记(视为 VideoLLM-MoD 设置了跳过层,即在第1层采用r=1,其余层r=0)。与 VideoLLM-MoD 相比,性能会显著下降,因为关键的视觉标记在某些层中错过了处理。 作者的 VideoLLM-MoD在在线视频情景中展示了最佳权衡,当作者处...
This is the official implementation of VideoLLM-online: Online Video Large Language Model for Streaming Video, CVPR 2024. Our paper introduces several interesting stuffs compared to popular image/video/multimodal models:Online Video Streaming: Unlike previous models that serve as offline mode (querying...
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs - DAMO-NLP-SG/VideoLLaMA2
模型整体由V-LLM基本结构、音频模块和Grounding模块三部分构成。PG分别代表Pixel和Grounding,代表模型具有Pixel级别的感知和Grounding能力,下面是case展示: 具有时序-空间感知能力,能识别出对应片段内对应位置的物体 数据集 PG - Video - LLaVA使用了VideoChatGPT数据集,该数据集包含了来自ActivityNet - 200的100K视频指令...
we introduce the VideoRefer Suite to empower Video LLM for finer-level spatial-temporal video understanding, i.e., enabling perception and reasoning on any objects throughout the video. Specially, we thoroughly develop VideoRefer Suite across three essential aspects: dataset, model, and benchmark....
A well-known dilemma in large vision-language models (e.g., GPT-4, LLaVA) is that while increasing the number of vision tokens generally enhances visual understanding, it also significantly raises memory and computational costs, especially in long-term, dense video frame streaming scenarios. Alth...
With our LIVE framework, we built VideoLLM-online model upon Llama-2/Llama-3 and demonstrate its significant advantages in processing streaming videos. For instance, on average, our model can support streaming dialogue in a 5-minute video clip at over 10 FPS on an A100 GPU. Moreover, it ...
Recent researches on video large language models (VideoLLM) predominantly focus on model architectures and training datasets, leaving the interaction format between the user and the model under-explored. In existing works, users often interact with VideoLLMs by using the entire video and a query ...