Haines, TSF;
Mac Aodha, O;
Brostow, GJ;
(2016)
My Text in Your Handwriting.
ACM Transactions on Graphics (TOG)
, 35
(3)
10.1145/2886099.
Preview |
Text
Brostow_My Text in Your Handwriting_AAM2.pdf - Accepted Version Download (38MB) | Preview |
Abstract
There are many scenarios where we wish to imitate a specific author’s pen-on-paper handwriting style. Rendering new text in someone’s handwriting is difficult because natural handwriting is highly variable, yet follows both intentional and involuntary structure that makes a person’s style self-consistent. The variability means that naive example-based texture synthesis can be conspicuously repetitive. We propose an algorithm that renders a desired input string in an author’s handwriting. An annotated sample of the author’s handwriting is required; the system is flexible enough that historical documents can usually be used with only a little extra effort. Experiments show that our glyph-centric approach, with learned parameters for spacing, line thickness, and pressure, produces novel images of handwriting that look hand-made to casual observers, even when printed on paper.
| Type: | Article |
|---|---|
| Title: | My Text in Your Handwriting |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/2886099 |
| Publisher version: | https://dx.doi.org/10.1145/2886099 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Texture synthesis, handwriting, generative models |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10075697 |
Archive Staff Only
 |
View Item |
