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(DIGAN) Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Published : 2022/21 Paper : Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks


previous works : represents videos as 3D grids of RGB values → neglects continuous dynamics

  • INR : encodes a continuous signal into a parameterized neural network

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  1. INR-based generator
    • modify first layer to handle time coordinate
    • content Generator is same with INR-GAN
    • motion Generator is added
  2. Discriminator that identifies unnatural motion without observing entire long frame sequences
    • 2D convolutional network

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