MyTimeMachine: Personalized Facial Age Transformation
1The University of North Carolina at Chapel Hill,
2The University of Maryland
MyTimeMachine personalizes a pre-trained global aging prior using $\sim$50 personal selfies, allowing age regression (de-aging) and age progression (aging) with high fidelity and identity preservation.
Abstract
Facial aging is a complex process, highly dependent on multiple factors like gender, ethnicity, lifestyle, etc., making it extremely challenging to learn a global aging prior to predict aging for any individual ...
Read more at mytimemachine.github.io