iOS中基于深度学习的在线虚拟世界的照片头像

ACM SIGGRAPH 2018 Real-Time Live! Pub Date : 2018-08-12 DOI:10.1145/3229227.3229237

Koki Nagano, Jaewoo Seo, K. San, Aaron Hong, Mclean Goldwhite, Jun Xing, Stuti Rastogi, Jiale Kuang, Aviral Agarwal, Han-Wei Kung, C. Arthur, Carrie Sun, Stephen Chen, Jens Fursund, Hao Li

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引用次数: 4

摘要

提出了一种基于深度学习的技术，用于从单个输入图像中生成具有动态面部纹理的逼真3D头像。实时性能驱动的动画和渲染在iPhone X上进行了演示，我们展示了如何将这些化身集成到引人注目的虚拟世界中并用于3D聊天。

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Deep learning-based photoreal avatars for online virtual worlds in iOS

A deep learning-based technology for generating photo-realistic 3D avatars with dynamic facial textures from a single input image is presented. Real-time performance-driven animations and renderings are demonstrated on an iPhone X and we show how these avatars can be integrated into compelling virtual worlds and used for 3D chats.

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ACM SIGGRAPH 2018 Real-Time Live!

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