Training the cGAN for face aging is a three-step process:
- Training the cGAN
- Initial latent vector approximation
- Latent vector optimization
We will cover these steps one by one in the following sections.
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Introduction to Generative Adversarial Networks
- 3D-GAN - Generating Shapes Using GANs
- Face Aging Using Conditional GAN
- Generating Anime Characters Using DCGANs
- Using SRGANs to Generate Photo-Realistic Images
- StackGAN - Text to Photo-Realistic Image Synthesis
- CycleGAN - Turn Paintings into Photos
- Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks
- Predicting the Future of GANs
- Other Books You May Enjoy
Training the cGAN
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