Training a GAN to synthesize images: Points to note.

Srinivasarao Chalamala @Srinivasarao_Chalamala

01 January 1970 1 6K Report

When I train a GAN my objective would be to generated images that are real at the same time if I use the controlled latent input to generate a particular variation in the output what care I must take?

Zhedong Zheng

Since you use a controlled latent input, you may consider the VAE-GAN.

The VAE (variational autoencoder) part could provide a self-supervised constraint that help you to limit the code in a valid range.

Recently I applied a similar tech in my paper https://github.com/NVlabs/DG-Net . You are welcomed to check out it.

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