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Face-to-Parameter Translation via Neural Network Renderer

Tianyang Shi (Assistant artificial intelligence researcher, NetEase, Fuxi AI Lab)

Pass Type: All Access Pass, Core+Summits Pass, Core Pass - Get your pass now!

Topic: Programming

Format: Session

Vault Recording: TBD

Audience Level: All

Character customization systems in RPGs are becoming more and more sophisticated. As a result, it turns out to be time-consuming and laborious for most players. How to help players quickly create a satisfactory role? In this talk, Tianyang Shi from NetEase Fuxi AI Lab will show how to differentiate the game engine by using a neural network and how to create a character automatically according to a single facial photo.

Takeaway

Attendees will see how to imitate the behavior of the game engine with a generative network, how to model the human perception with discriminative networks, and how to build game characters from facial photos under a deep learning framework.

Intended Audience

If you are a game designer or an AI researcher, if you want to enrich your character system in your game, then this talk is for you. A little knowledge of deep learning is recommended.