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