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DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241205T151900
DTEND;TZID=Asia/Tokyo:20241205T153100
UID:siggraphasia_SIGGRAPH Asia 2024_sess135_papers_335@linklings.com
SUMMARY:DrawingSpinUp: 3D Animation from Single Character Drawings
DESCRIPTION:Technical Papers\n\nJie ZHOU (City University of Hong Kong), C
 hufeng XIAO (Hong Kong University of Science and Technology), Miu-Ling LAM
  (City University of Hong Kong), and Hongbo FU (Hong Kong University of Sc
 ience and Technology)\n\nAnimating various character drawings is an engagi
 ng visual content creation task. Given a single character drawing, existin
 g animation methods are limited to flat 2D motions and thus lack 3D effect
 s. An alternative solution is to reconstruct a 3D model from a character d
 rawing as a proxy and then retarget 3D motion data onto it. However, the e
 xisting image-to-3D methods could not work well for amateur character draw
 ings in terms of appearance and geometry. We observe the contour lines, co
 mmonly existing in character drawings, would introduce significant ambigui
 ty in texture synthesis due to their view-dependence. Additionally, thin r
 egions represented by single-line contours are difficult to reconstruct (e
 .g., slim limbs of a stick figure) due to their delicate structures. To ad
 dress these issues, we propose a novel system, DrawingSpinUp, to produce p
 lausible 3D animations and breathe life into character drawings, allowing 
 them to freely spin up, leap, and even perform a hip-hop dance. For appear
 ance improvement, we adopt a removal-then-restoration strategy to first re
 move the view-dependent contour lines and then render them back after reta
 rgeting the reconstructed character. For geometry refinement, we develop a
  skeleton-based thinning deformation algorithm to refine the slim structur
 es represented by the single-line contours. The experimental evaluations s
 how that our proposed method outperforms the existing 2D and 3D animation 
 methods and generates high-quality 3D animations from a single character d
 rawing.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLa
 nguage Format: English Language\n\nSession Chair: Changjian Li (University
  of Edinburgh)
URL:https://asia.siggraph.org/2024/program/?id=papers_335&sess=sess135
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