Image-based clothes changing system
dc.contributor.author | Zheng, Zhao-Heng | |
dc.contributor.author | Zhang, Hao-Tian | |
dc.contributor.author | Zhang, Fang-Lue | |
dc.contributor.author | Mu, Tai-Jiang | |
dc.date.accessioned | 2017-05-14T03:27:53Z | |
dc.date.available | 2017-05-14T03:27:53Z | |
dc.date.issued | 2017-05-08 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s41095-017-0084-6 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/136772 | |
dc.description.abstract | Abstract Current image-editing tools do not match up to the demands of personalized image manipulation, one application of which is changing clothes in usercaptured images. Previous work can change single color clothes using parametric human warping methods. In this paper, we propose an image-based clothes changing system, exploiting body factor extraction and content-aware image warping. Image segmentation and mask generation are first applied to the user input. Afterwards, we determine joint positions via a neural network. Then, body shape matching is performed and the shape of the model is warped to the user’s shape. Finally, head swapping is performed to produce realistic virtual results. We also provide a supervision and labeling tool for refinement and further assistance when creating a dataset. | |
dc.title | Image-based clothes changing system | |
dc.type | Article | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/136772/1/41095_2017_Article_84.pdf | |
dc.language.rfc3066 | en | |
dc.rights.holder | The Author(s) | |
dc.date.updated | 2017-05-14T03:27:54Z | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.