Pandora
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About
Pandora is a pioneering General World Model (GWM) designed to simulate dynamic world states by generating videos across diverse domains. A key innovation is its ability to accept natural language actions as inputs during video generation, enabling on-the-fly control and interactive content creation. This capability allows users to steer video outcomes, explore counterfactual futures from the same initial state, and enhance robust reasoning and planning. Pandora can generate videos spanning various general domains, including indoor/outdoor, natural/urban, human/robot, and 2D/3D scenarios. Furthermore, it demonstrates the ability to learn actions in one domain and transfer them effectively to unseen domains. Utilizing an autoregressive backbone, Pandora can produce longer videos with potentially unlimited duration, surpassing the fixed-length typical of diffusion models. While a significant step towards GWM, it has limitations in consistency, simulating complex scenarios, understanding commonsense/physical laws, and instruction following.
Platform
Task
Features
• allows any-time control with actions expressed in natural language
• simulates world states by generating videos across any domains
• autoregressive model yields longer videos (potentially unlimited duration)
• learns actions in one domain and applies them to unseen domains
• generates videos across a wide range of general domains (indoor/outdoor, natural/urban, human/robot, 2d/3d)
• predicts alternative futures (counterfactuals)
• on-the-fly control during video generation
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