Deep Detail Enhancement for Any Garment
| dc.contributor.author | Zhang, Meng | en_US |
| dc.contributor.author | Wang, Tuanfeng | en_US |
| dc.contributor.author | Ceylan, Duygu | en_US |
| dc.contributor.author | Mitra, Niloy J. | en_US |
| dc.contributor.editor | Mitra, Niloy and Viola, Ivan | en_US |
| dc.date.accessioned | 2021-04-09T08:01:05Z | |
| dc.date.available | 2021-04-09T08:01:05Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Creating fine garment details requires significant efforts and huge computational resources. In contrast, a coarse shape may be easy to acquire in many scenarios (e.g., via low-resolution physically-based simulation, linear blend skinning driven by skeletal motion, portable scanners). In this paper, we show how to enhance, in a data-driven manner, rich yet plausible details starting from a coarse garment geometry. Once the parameterization of the garment is given, we formulate the task as a style transfer problem over the space of associated normal maps. In order to facilitate generalization across garment types and character motions, we introduce a patch-based formulation, that produces high-resolution details by matching a Gram matrix based style loss, to hallucinate geometric details (i.e., wrinkle density and shape). We extensively evaluate our method on a variety of production scenarios and show that our method is simple, light-weight, efficient, and generalizes across underlying garment types, sewing patterns, and body motion. Project page: http://geometry.cs.ucl.ac.uk/projects/2021/DeepDetailEnhance/ | en_US |
| dc.description.number | 2 | |
| dc.description.sectionheaders | Learning from Human Motion | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 40 | |
| dc.identifier.doi | 10.1111/cgf.142642 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 399-411 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.142642 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf142642 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | Deep Learning | |
| dc.subject | Motion Generation | |
| dc.subject | Garment Motion Transfer | |
| dc.title | Deep Detail Enhancement for Any Garment | en_US |