PERGAMO: Personalized 3D Garments from Monocular Video
| dc.contributor.author | Casado-Elvira, Andrés | en_US |
| dc.contributor.author | Comino Trinidad, Marc | en_US |
| dc.contributor.author | Casas, Dan | en_US |
| dc.contributor.editor | Dominik L. Michels | en_US |
| dc.contributor.editor | Soeren Pirk | en_US |
| dc.date.accessioned | 2022-08-10T15:20:03Z | |
| dc.date.available | 2022-08-10T15:20:03Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Clothing plays a fundamental role in digital humans. Current approaches to animate 3D garments are mostly based on realistic physics simulation, however, they typically suffer from two main issues: high computational run-time cost, which hinders their deployment; and simulation-to-real gap, which impedes the synthesis of specific real-world cloth samples. To circumvent both issues we propose PERGAMO, a data-driven approach to learn a deformable model for 3D garments from monocular images. To this end, we first introduce a novel method to reconstruct the 3D geometry of garments from a single image, and use it to build a dataset of clothing from monocular videos. We use these 3D reconstructions to train a regression model that accurately predicts how the garment deforms as a function of the underlying body pose. We show that our method is capable of producing garment animations that match the real-world behavior, and generalizes to unseen body motions extracted from motion capture dataset. | en_US |
| dc.description.number | 8 | |
| dc.description.sectionheaders | Learning | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 41 | |
| dc.identifier.doi | 10.1111/cgf.14644 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 293-304 | |
| dc.identifier.pages | 12 pages | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.14644 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf14644 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | CCS Concepts: Computing methodologies --> Computer graphics; Neural networks | |
| dc.subject | Computing methodologies | |
| dc.subject | Computer graphics | |
| dc.subject | Neural networks | |
| dc.title | PERGAMO: Personalized 3D Garments from Monocular Video | en_US |