Realistic Facial Age Transformation with 3D Uplifting
Loading...
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
While current facial re-ageing methods can produce realistic results, they purely focus on the 2D age transformation. In this work, we present an approach to transform the age of a person in both facial appearance and shape across different ages while preserving their identity. We employ an α-(de)blending diffusion network with an age-to-α transformation to generate coarse structure changes, such as wrinkles. Additionally, we edit biophysical skin properties, including melanin and hemoglobin, to simulate skin color changes, producing realistic re-ageing results from ages 10 to 80 years. We also propose a geometric neural network that alters the coarse scale facial geometry according to age, followed by a lightweight and efficient network that adds appropriate skin displacement on top of the coarse geometry. Both qualitative and quantitative comparisons show that our method outperforms current state-of-the-art approaches.
Description
CCS Concepts: Computing methodologies → Texturing; Reflectance modeling; Shape modeling
@article{10.1111:cgf.15146,
journal = {Computer Graphics Forum},
title = {{Realistic Facial Age Transformation with 3D Uplifting}},
author = {Li, Xiaohui and Guarnera, Giuseppe Claudio and Lin, Arvin and Ghosh, Abhijeet},
year = {2024},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.15146}
}