Neural Facial Deformation Transfer
dc.contributor.author | Chandran, Prashanth | en_US |
dc.contributor.author | Ciccone, Loïc | en_US |
dc.contributor.author | Zoss, Gaspard | en_US |
dc.contributor.author | Bradley, Derek | en_US |
dc.contributor.editor | Ceylan, Duygu | en_US |
dc.contributor.editor | Li, Tzu-Mao | en_US |
dc.date.accessioned | 2025-05-09T09:35:26Z | |
dc.date.available | 2025-05-09T09:35:26Z | |
dc.date.issued | 2025 | |
dc.description.abstract | We address the practical problem of generating facial blendshapes and reference animations for a new 3D character in production environments where blendshape expressions and reference animations are readily available on a pre-defined template character. We propose Neural Facial Deformation Transfer (NFDT); a data-driven approach to transfer facial expressions from such a template character to new target characters given only the target's neutral shape. To accomplish this, we first present a simple data generation strategy to automatically create a large training dataset consisting of pairs of template and target character shapes in the same expression. We then leverage this dataset through a decoder-only transformer that transfers facial expressions from the template character to a target character in high fidelity. Through quantitative evaluations and a user study, we demonstrate that NFDT surpasses the previous state-of-the-art in facial expression transfer. NFDT provides good results across varying mesh topologies, generalizes to humanoid creatures, and can save time and cost in facial animation workflows. | en_US |
dc.description.sectionheaders | Short Paper 2 | |
dc.description.seriesinformation | Eurographics 2025 - Short Papers | |
dc.identifier.doi | 10.2312/egs.20251036 | |
dc.identifier.isbn | 978-3-03868-268-4 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.pages | 4 pages | |
dc.identifier.uri | https://doi.org/10.2312/egs.20251036 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/egs20251036 | |
dc.publisher | The Eurographics Association | 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 → Shape modeling; Animation | |
dc.subject | Computing methodologies → Shape modeling | |
dc.subject | Animation | |
dc.title | Neural Facial Deformation Transfer | en_US |
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