all AI news
PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
Feb. 19, 2024, 5:45 a.m. | Hyunsoo Cha, Byungjun Kim, Hanbyul Joo
cs.CV updates on arXiv.org arxiv.org
Abstract: We present, PEGASUS, a method for constructing personalized generative 3D face avatars from monocular video sources. As a compositional generative model, our model enables disentangled controls to selectively alter the facial attributes (e.g., hair or nose) of the target individual, while preserving the identity. We present two key approaches to achieve this goal. First, we present a method to construct a person-specific generative 3D avatar by building a synthetic video collection of the target identity …
3d avatars abstract arxiv avatars cs.cv face generative hair identity personalized type video
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 4 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 4 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne