General world models represent a crucial pathway toward achieving Artificial General
Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual …

We introduce InternVideo2, a new video foundation model (ViFM) that achieves the state-of-
the-art performance in action recognition, video-text tasks, and video-centric dialogue. Our …

We introduce CogVideoX, a large-scale diffusion transformer model designed for generating
videos based on text prompts. To efficently model video data, we propose to levearge a 3D …

We present the ShareGPT4Video series, aiming to facilitate the video understanding of large
video-language models (LVLMs) and the video generation of text-to-video models (T2VMs) …

This paper presents VideoStreaming, an advanced vision-language large model (VLLM) for
video understanding, that capably understands arbitrary-length video with a constant …

Massive multi-modality datasets play a significant role in facilitating the success of large
video-language models. However, current video-language datasets primarily provide text …

Filmmaking and animation production often require sophisticated techniques for
coordinating camera transitions and object movements, typically involving labor-intensive …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

In this work, we present MotionBooth, an innovative framework designed for animating
customized subjects with precise control over both object and camera movements. By …

With impressive achievements made, artificial intelligence is on the path forward to artificial
general intelligence. Sora, developed by OpenAI, which is capable of minute-level world …