InteractiveVideo: User-Centric Controllable Video Generation with
  Synergistic Multimodal Instructions
Yiyuan Zhang Yuhao Kang Zhixin Zhang Xiaohan Ding Sanyuan Zhao Xiangyu Yue
We introduce $\textit{InteractiveVideo}$, a user-centric framework for video
generation. Different from traditional generative approaches that operate based
on user-provided images or text, our framework is designed for dynamic
interaction, allowing users to instruct the generative model through various
intuitive mechanisms during the whole generation process, e.g. text and image
prompts, painting, drag-and-drop, etc. We propose a Synergistic Multimodal
Instruction mechanism, designed to seamlessly integrate users' multimodal
instructions into generative models, thus facilitating a cooperative and
responsive interaction between user inputs and the generative process. This
approach enables iterative and fine-grained refinement of the generation result
through precise and effective user instructions. With
$\textit{InteractiveVideo}$, users are given the flexibility to meticulously
tailor key aspects of a video. They can paint the reference image, edit
semantics, and adjust video motions until their requirements are fully met.
Code, models, and demo are available at
https://github.com/invictus717/InteractiveVideo