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Pandora, this is a step towards the Common World Model (GWM):
Simulate world states by generating video across any domain
Allow immediate control through actions expressed in natural language
Instant control using natural language
Pandora accepts free text operations as input during the video generation process to dynamically guide the video. This is very different from previous text-to-video models, which only allowed text prompts at the beginning of the video. Dynamic control fulfills the promise of the world model, supports interactive content generation and enhances robust reasoning and planning.
Predicting alternative futures at will
The world model simulates the alternative future of the world. Pandora lets you control the future. Here, we show some counterfactual futures-different videos generated from the same initial state but different actions.
Simulate the world across any field
Pandora can generate videos in a variety of common fields, such as indoor/outdoor, nature/urban, human/robot, 2D/3D and other scenes. You can find more videos in the Pandora’s Box gallery.
Learn to act in one area and use it in another
Using high-quality data for command adjustments allows models to learn effective motion control and move to different unseen areas. For example, Pandora saw Coinrun, the only 2D game during training, but could seamlessly apply the learned movements to other 2D games.
Autoregressive models produce longer videos
Existing diffusion video models typically produce fixed-length videos. By integrating the video model with Pandora’s autoregressive backbone, longer videos with unlimited duration can be generated. We showed the 8-second video generated by Pandora, although our training video was 5 seconds long.
If you want to learn more, you can click on the link below the video.
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Original text:https://world-model.maitrix.org/
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