BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Asia/Seoul X-LIC-LOCATION:Asia/Seoul BEGIN:STANDARD TZOFFSETFROM:+0900 TZOFFSETTO:+0900 TZNAME:KST DTSTART:18871231T000000 DTSTART:19881009T020000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230103T035312Z LOCATION:Room 325-AB\, Level 3\, West Wing DTSTART;TZID=Asia/Seoul:20221209T103000 DTEND;TZID=Asia/Seoul:20221209T120000 UID:siggraphasia_SIGGRAPH Asia 2022_sess177_papers_373@linklings.com SUMMARY:DifferSketching: How Differently Do People Sketch 3D Objects? DESCRIPTION:Technical Papers\n\nDifferSketching: How Differently Do People Sketch 3D Objects?\n\nXiao, Su, Liao, Lian, Song...\n\nMultiple sketch da tasets have been proposed to understand how people draw 3D objects. Howeve r, such datasets are often of small scale and cover a small set of objects or categories. In addition, these datasets contain freehand sketches most ly from expert users, making it difficult to compare the drawings by exper t and novice users, while such comparisons will potentially help design mo re effective sketch-based interfaces for specific or both groups of users. These observations motivate us to analyze how differently people with and without good drawing skills sketch 3D objects. We invited 70 novice users and 38 expert users to sketch 136 3D objects, which were presented as 362 images rendered from multiple views. This leads to a new dataset of 3,620 freehand multi-view sketches, which are registered with the corresponding 3D objects under certain views. Our dataset is an order of magnitude larg er than the existing datasets. We analyze the collected data at three leve ls, i.e., sketch-level, stroke-level, and pixel-level, in both spatial and \ntemporal characteristics, and within and across groups of creators. We f ound that the drawings by professionals and novices show significant diffe rences in the stroke-level, both intrinsically and extrinsically. We demon strate the usefulness of our dataset in two applications: freehand sketch synthesis and using it as a potential benchmark for sketch-based 3D recons truction.\n\nRegistration Category: FULL ACCESS, ON-DEMAND ACCESS\n\nLangu age: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND URL:https://sa2022.siggraph.org/en/full-program/?id=papers_373&sess=sess17 7 END:VEVENT END:VCALENDAR