Realistic Facial Age Transformation with 3D Uplifting
| dc.contributor.author | Li, Xiaohui | en_US |
| dc.contributor.author | Guarnera, Giuseppe Claudio | en_US |
| dc.contributor.author | Lin, Arvin | en_US |
| dc.contributor.author | Ghosh, Abhijeet | en_US |
| dc.contributor.editor | Garces, Elena | en_US |
| dc.contributor.editor | Haines, Eric | en_US |
| dc.date.accessioned | 2024-06-25T10:19:26Z | |
| dc.date.available | 2024-06-25T10:19:26Z | |
| dc.date.issued | 2024 | |
| dc.description.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. | en_US |
| dc.description.number | 4 | |
| dc.description.sectionheaders | Relighting | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 43 | |
| dc.identifier.doi | 10.1111/cgf.15146 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 12 pages | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.15146 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.1111/cgf15146 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Computing methodologies → Texturing; Reflectance modeling; Shape modeling | |
| dc.subject | Computing methodologies → Texturing | |
| dc.subject | Reflectance modeling | |
| dc.subject | Shape modeling | |
| dc.title | Realistic Facial Age Transformation with 3D Uplifting | en_US |