{"id":601775,"date":"2023-01-27T06:55:55","date_gmt":"2023-01-27T12:55:55","guid":{"rendered":"https:\/\/news.sellorbuyhomefast.com\/index.php\/2023\/01\/27\/deepfakes-for-scrawl-with-handwriting-synthesis-no-pen-is-necessary\/"},"modified":"2023-01-27T06:55:55","modified_gmt":"2023-01-27T12:55:55","slug":"deepfakes-for-scrawl-with-handwriting-synthesis-no-pen-is-necessary","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2023\/01\/27\/deepfakes-for-scrawl-with-handwriting-synthesis-no-pen-is-necessary\/","title":{"rendered":"Deepfakes for scrawl: With handwriting synthesis, no pen is necessary"},"content":{"rendered":"
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\n John Hancock Files, Case #223 \u2014
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Free neural network demo generates dynamic, downloadable handwriting on the fly.<\/h2>\n
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\n Benj Edwards<\/span><\/a>
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Enlarge<\/a> \/<\/span> An example of computer-synthesized handwriting generated by Calligrapher.ai.<\/p>\n

Ars Technica<\/p>\n<\/figcaption><\/figure>\n

Thanks to a free web app called calligrapher.ai,<\/a> anyone can simulate handwriting with a neural network that runs in a browser via JavaScript. After typing a sentence, the site renders it as handwriting in nine different styles, each of which is adjustable with properties such as speed, legibility, and stroke width. It also allows downloading the resulting faux handwriting sample in an SVG vector file.<\/p>\n

The demo is particularly interesting because it doesn’t use a font. Typefaces that look like handwriting have been around for over 80 years<\/a>, but each letter comes out as a duplicate no matter how many times you use it.<\/p>\n

During the past decade, computer scientists have relaxed those restrictions by discovering<\/a> new ways to simulate the dynamic variety of human handwriting using neural networks.<\/p>\n

Created by machine-learning researcher Sean Vasquez<\/a>, the Calligrapher.ai website utilizes research from a 2013 paper<\/a> by DeepMind’s Alex Graves<\/a>. Vasquez originally created the Calligrapher site years ago<\/a>, but it recently gained more attention with a rediscovery<\/a> on Hacker News.<\/p>\n

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