- Why do we need the Pix2Pix GAN where a supervised learning algorithm such as UNet could have worked to generate images from contours?
- Why do we need to optimize for three different loss functions in CycleGAN?
- How do the tricks leveraged in ProgressiveGAN help in building StyleGAN?
- How do we identify latent vectors that correspond to a given custom image?
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