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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_363@linklings.com
SUMMARY:CAD2Sketch: Generating Concept Sketches from CAD Sequences
DESCRIPTION:Technical Papers\n\nCAD2Sketch: Generating Concept Sketches fr
 om CAD Sequences\n\nHähnlein, Li, Mitra, Bousseau\n\nConcept sketches are 
 ubiquitous in industrial design, as they allow designers to quickly depict
  imaginary 3D objects.To construct their sketches with accurate perspectiv
 e, designers rely on longstanding drawing techniques, including the use of
  auxiliary construction lines to identify midpoints of perspective planes,
  to align points vertically and horizontally, and to project planar curves
  from one perspective plane to another. We present a method to synthesize 
 such construction lines from CAD sequences. Importantly, our method balanc
 es the presence of construction lines with overall clutter, such that the 
 resulting sketch is both well-constructed and readable, as professional de
 signers are trained to do. In addition to generating sketches that are vis
 ually similar to real ones, we apply our method to synthesize a large quan
 tity of paired sketches and normal maps, and show that the resulting datas
 et can be used to train a neural network to infer normals from real-world 
 concept sketches.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS A
 CCESS, EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: 
 IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_363&sess=sess15
 3
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