A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)
-
Updated
Aug 3, 2019 - HTML
A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)
Worked towards using the encoder-decoder network along with long short term memory (LSTM) network in order to develop the framework for solving the video matting problem.
TerrainGAN: a combination of VAE and GAN that can generate realistic 3D terrain
Pix2Pix Implementation for Facade Dataset
Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network
Generate your own 'Lego Star Wars' 🚀🌟 figures from your favorite images using AI. 🎨🤖 [This is an independent site not authorized or sponsored by the LEGO® Group or Lucasfilm Ltd.]
Add a description, image, and links to the pix2pix topic page so that developers can more easily learn about it.
To associate your repository with the pix2pix topic, visit your repo's landing page and select "manage topics."