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Generative Models with RunwayML

Session A: Generative Adversarial Networks

Objectives

  • Understand the basics of how the GANs and Image Colorization models in RunwayML work
  • Develop high-level understandings of nonlinear dimensionality reductions and the latent space.
  • Learn how to use RunwayML with GPU in the cloud.
  • Slides

Reading / Viewing

Related Projects

Code Examples

Session B: Interactive Image Synthesis

Objectives

  • Understand how GANs can be applied to interactive systems to generate imagery.

Code Examples

Semantic Maps / Image Synthesis

Related Projects

Assignment:

Prepare a final project proposal. Follow the Final Project Guidelines and link to your slides and post on the Final Project Propsal Wiki