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We demonstrate the value and broad appeal of our approach by building and releasing the Animated Drawings Demo, a freely available public website that has been used by millions of people around the world. We present a set of experiments exploring the amount of training data needed for fine-tuning, as well as a perceptual study demonstrating the appeal of a novel\n            <jats:italic>twisted perspective<\/jats:italic>\n            retargeting technique. Finally, we introduce the Amateur Drawings Dataset, a first-of-its-kind annotated dataset, collected via the public demo, containing over 178,000 amateur drawings and corresponding user-accepted character bounding boxes, segmentation masks, and joint location annotations.\n          <\/jats:p>","DOI":"10.1145\/3592788","type":"journal-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T12:10:05Z","timestamp":1681906205000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":45,"title":["A Method for Animating Children\u2019s Drawings of the Human Figure"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5992-0237","authenticated-orcid":false,"given":"Harrison Jesse","family":"Smith","sequence":"first","affiliation":[{"name":"Meta AI Research, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3482-7079","authenticated-orcid":false,"given":"Qingyuan","family":"Zheng","sequence":"additional","affiliation":[{"name":"Tencent America, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3770-0575","authenticated-orcid":false,"given":"Yifei","family":"Li","sequence":"additional","affiliation":[{"name":"MIT CSAIL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6136-3153","authenticated-orcid":false,"given":"Somya","family":"Jain","sequence":"additional","affiliation":[{"name":"Meta AI Research, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1778-883X","authenticated-orcid":false,"given":"Jessica K.","family":"Hodgins","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"e_1_3_2_2_1","first-page":"3686","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Andriluka Mykhaylo","year":"2014","unstructured":"Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele. 2014. 2D human pose estimation: New benchmark and state of the art analysis. 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