Cloth warping using multi-scale patch adversarial loss
US11080817B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2019 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Nov 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Generating a synthesized image of a person wearing clothing is described. A two-dimensional reference image depicting a person wearing an article of clothing and a two-dimensional image of target clothing in which the person is to be depicted as wearing are received. To generate the synthesized image, a warped image of the target clothing is generated via a geometric matching module, which implements a machine learning model trained to recognize similarities between warped and non-warped clothing images using multi-scale patch adversarial loss. The multi-scale patch adversarial loss is determined by sampling patches of different sizes from corresponding locations of warped and non-warped clothing images. The synthesized image is generated on a per-person basis, such that the target clothing fits the particular body shape, pose, and unique characteristics of the person.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.