Pandora
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About
Pandora is a pioneering General World Model (GWM) designed to simulate diverse world states through video generation, offering unprecedented interactive control. Unlike traditional text-to-video models, Pandora allows users to input free-text actions during video generation, enabling on-the-fly steering of the video. This capability facilitates interactive content creation and enhances robust reasoning and planning. It can predict alternative futures by generating different videos from the same initial state based on varied natural language actions. Pandora demonstrates versatility by simulating worlds across a wide range of general domains, including indoor/outdoor, natural/urban, human/robot, 2D/3D scenarios. Furthermore, it can transfer learned actions from one domain to entirely unseen domains, showcasing its adaptability. Utilizing an autoregressive backbone, Pandora generates longer videos with potentially unlimited duration, surpassing the fixed lengths of many existing diffusion video models. While a significant step, Pandora acknowledges its current limitations in consistency, complex scenario simulation, and understanding commonsense physics.
Platform
Task
Features
• interactive content creation
• autoregressive long video generation
• action transfer across domains
• cross-domain world simulation
• predictive alternative futures
• on-the-fly video steering
• natural language action control
• video state generation
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