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Dynamic World Model Runner

DOI

Model files and example notebook for Dynamic World, see [PUBLICATION DOI PENDING REVIEW].

This is not an officially supported Google product.

  • TensorFlow SavedModels for the forward and backward path can be found in ./model/forward and ./model/backward respectively.
  • ./single_image_runner.ipynb gives a step-by-step guide to making predictions with the Dynamic World models.

See the image below for the model block diagram. For Dynamic World, m = 1.5 and b = 2.

Dynamic World neural network architecture

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  • Jupyter Notebook 100.0%