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DTSTAMP:20260114T163633Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_441@linklings.com
SUMMARY:Reconstruction of Machine-Made Shapes from Bitmap Sketches
DESCRIPTION:Ivan Puhachov (Universite de Montreal; Huawei Technologies, Ca
 nada); Cedric Martens (Universite de Montreal); Paul G. Kry (McGill Univer
 sity; Huawei Technologies, Canada); and Mikhail Bessmeltsev (Universite de
  Montreal)\n\nWe propose a method of reconstructing 3D machine-made shapes
  from bitmap sketches by separating an input image into individual patches
  and jointly optimizing their geometry. \nWe rely on two main observations
 :\n(1) human observers interpret sketches of man-made shapes as a collecti
 on of simple geometric primitives, and \n(2) sketch strokes often indicate
  occlusion contours or sharp ridges between those primitives.\nUsing these
  main observations we design a system that takes a single bitmap image of 
 a shape, estimates image depth and segmentation into primitives with neura
 l networks, then fits primitives into the predicted depth while determinin
 g occlusion contours and aligning intersections with input drawing via opt
 imization.\nUnlike previous work, our approach does not require additional
  input, annotation, or templates, and does not require retraining for a ne
 w category of man-made shapes. \nOur method produces triangular meshes tha
 t display sharp geometric features and are suitable for downstream applica
 tions, such as editing, rendering, and shading.\n\nRegistration Category: 
 Full Access, Enhanced Access, Trade Exhibitor, Experience Hall Exhibitor\n
 \n
URL:https://asia.siggraph.org/2023/full-program?id=papers_441&sess=sess209
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