Human Face Modeling based on Deep Learning through Line-drawing
| dc.contributor.author | Kawanaka, Yuta | en_US |
| dc.contributor.author | Sato, Syuhei | en_US |
| dc.contributor.author | Sakurai, Kaisei | en_US |
| dc.contributor.author | Gao, Shangce | en_US |
| dc.contributor.author | Tang, Zheng | en_US |
| dc.contributor.editor | Yang, Yin | en_US |
| dc.contributor.editor | Parakkat, Amal D. | en_US |
| dc.contributor.editor | Deng, Bailin | en_US |
| dc.contributor.editor | Noh, Seung-Tak | en_US |
| dc.date.accessioned | 2022-10-04T06:37:54Z | |
| dc.date.available | 2022-10-04T06:37:54Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | This paper presents a deep learning-based method for creating 3D human face models. In recent years, several sketch-based shape modeling methods have been proposed. These methods allow the user to easily model various shapes containing animal, building, vehicle, and so on. However, a few methods have been proposed for human face models. If we can create 3D human face models via line-drawing, models of cartoon or fantasy characters can be easily created. To achieve this, we propose a sketch-based face modeling method. When a single line-drawing image is input to our system, a corresponding 3D face model are generated. Our system is based on a deep learning; many human face models and corresponding images rendered as line-drawing are prepared, and then a network is trained using these datasets. For the network, we use a previous method for reconstructing human bodies from real images, and we propose some extensions to enhance learning accuracy. Several examples are shown to demonstrate usefulness of our system. | en_US |
| dc.description.sectionheaders | Sketch and Modeling | |
| dc.description.seriesinformation | Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers | |
| dc.identifier.doi | 10.2312/pg.20221239 | |
| dc.identifier.isbn | 978-3-03868-190-8 | |
| dc.identifier.pages | 13-14 | |
| dc.identifier.pages | 2 pages | |
| dc.identifier.uri | https://doi.org/10.2312/pg.20221239 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pg20221239 | |
| 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 → Mesh models | |
| dc.subject | Computing methodologies → Mesh models | |
| dc.title | Human Face Modeling based on Deep Learning through Line-drawing | en_US |