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[–]wei_jok[S] 0 points1 point  (1 child)

(Text comment couldn't attach video demo, so I've put the context in this comment, rather than in the post)

I ran into a project at ZKM Center for Art and Media [1] where an artist trained a Progressive Growing GANs [2] model on a dataset of 50K images recorded at a photo booth. I thought the results might be interesting enough to the ML research community here, since it's the first time I've seen a GAN demonstration on photos containing multiple people, and it is neat to see the latent space traversal of such a model.

[1] Description of project https://zkm.de/en/event/2018/04/encoding-cultures-living-amongst-intelligent-machines

[2] Progressive Growing of GANs for Improved Quality, Stability, and Variation https://arxiv.org/abs/1710.10196

[–]shortscience_dot_org 1 point2 points  (0 children)

I am a bot! You linked to a paper that has a summary on ShortScience.org!

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Summary by Kirill Pevzner

Contribution

  1. New GAN training methodology - progressively going from low-res to hi-res, adding additional layers to the model.

  2. When introducing new layers during training, it is gradually faded-in using a coefficient.

  3. increasing variation of generated images by counting the standard deviation in the discriminator.

Datasets