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Submission video of our paper, published at ICLR 2018. Please see the final version at https://youtu.be/G06dEcZ-QTg

Authors:
Tero Karras (NVIDIA)
Timo Aila (NVIDIA)
Samuli Laine (NVIDIA)
Jaakko Lehtinen (NVIDIA and Aalto University)

For business inquiries, please contact researchinquiries@nvidia.com
For press and other inquiries, please contact Hector Marinez at hmarinez@nvidia.com

Links:
http://arxiv.org/abs/1710.10196
https://github.com/tkarras/progressive_growing_of_gans

Abstract:
We describe a new training methodology for generative adversarial networks. The key idea is to grow both the generator and discriminator progressively: starting from a low resolution, we add new layers that model increasingly fine details as training progresses. This both speeds the training up and greatly stabilizes it, allowing us to produce images of unprecedented quality, e.g., CelebA images at 1024². We also propose a simple way to increase the variation in generated images, and achieve a record inception score of 8.80 in…

Бесплатная трансляция главного зала конференции HighLoad++ 2017.

Расписание конференции:
http://www.highload.ru/2017/schedule.html

Трансляция остальных залов платная:
http://www.highload.ru/2017/online

Но это ничего, потому что через несколько месяцев мы выложим всё бесплатно, как делали это неоднократно. Все видео, кстати, в этом канале.

Доставку и ускорение трансляции осуществляет компания NGENIX. Резервный канал:
http://play.ngenix.net/highload