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Regular version of the site

Book chapter

Realistic post-processing of rendered 3D scenes

P. 1-2.
Anastasia Feygina, Ignatov D. I., Makarov I.

In this talk, we show a realistic post-processing rendering based on generative adversarial network CycleWGAN. We propose to use CycleGAN architecture and Wasserstein loss function with additional identity component in order to transfer graphics from Grand Theft Auto V to the older version of GTA video-game, Grand Theft Auto: San Andreas. We aim to present the application of modern art style transfer and unpaired image-to-image translations methods for graphics improvement using deep neural networks with adversarial loss.

In book

NY: Association for Computing Machinery (ACM), 2018.