“I am AI : AI-driven Digital Avatar Made Easy” by Liu, Nagano, Seol, Valle, Seo, et al. …
Conference:
Type(s):
E-Tech Type(s):
- Avatar / Agent
- Ming-yu Liu
- Koki Nagano
- Yeongho Seol
- Rafael Valle
- Jaewoo Seo
- Ting-Chun Wang
- Arun Mallya
- Sameh Khamis
- Wei Ping
- Rohan Badlani
- Kevin J. Shih
- Bryan Catanzaro
- Simon Yuen
- Jan Kautz
Entry Number: 103
Title:
- I am AI : AI-driven Digital Avatar Made Easy
Developer(s):
Project Affiliation:
- NVIDIA
Description:
Won Best In Show
We introduce a deep learning-based system that allows anyone to synthesize animated digital avatars from audio or text input. We demonstrate our system can generate in real-time lip-synced talking digital avatars from only one picture. We showcase how this technology can enable enhanced video conference experience and accessible avatar creation.
References:
Ming-yu Liu, Koki Nagano, Yeongho Seol, Rafael Valle, Jaewoo Seo, Ting- Chun Wang, Arun Mallya, Sameh Khamis, Wei Ping, Rohan Badlani, Kevin J. Shih, Bryan Catanzaro, Simon Yuen, and Jan Kautz. 2021. I am AI : AI- driven Digital Avatar Made Easy. In Special Interest Group on Computer Graphics and Interactive Techniques Conference Real-Time Live! (SIGGRAPH ’21 Real-Time Live!), August 09-13, 2021. ACM, New York, NY, USA, 1 page. https://doi.org/10.1145/3450622.3466785
