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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
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