DrawingSpinUp: 3D Animation from Single Character Drawings

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

Animating various character drawings is an engaging visual content creation task. Given a single character drawing, existing animation methods are limited to flat 2D motions and thus lack 3D effects. An alternative solution is to reconstruct a 3D model from a character drawing as a proxy and then retarget 3D motion data onto it. However, the existing image-to-3D methods could not work well for amateur character drawings in terms of appearance and geometry. We observe the contour lines, commonly existing in character drawings, would introduce significant ambiguity in texture synthesis due to their view-dependence. Additionally, thin regions represented by single-line contours are difficult to reconstruct (e.g., slim limbs of a stick figure) due to their delicate structures. To address these issues, we propose a novel system, DrawingSpinUp, to produce plausible 3D animations and breathe life into character drawings, allowing them to freely spin up, leap, and even perform a hip-hop dance. For appearance improvement, we adopt a removal-then-restoration strategy to first remove the view-dependent contour lines and then render them back after retargeting the reconstructed character. For geometry refinement, we develop a skeleton-based thinning deformation algorithm to refine the slim structures represented by the single-line contours. The experimental evaluations and a perceptual user study show that our proposed method outperforms the existing 2D and 3D animation methods and generates high-quality 3D animations from a single character drawing. Please refer to our project page (https://lordliang.github.io/DrawingSpinUp) for the code and generated animations. © 2024 Copyright held by the owner/author(s).
Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2024 Conference Papers
PublisherAssociation for Computing Machinery
ISBN (Print)9798400711312
DOIs
Publication statusPublished - 3 Dec 2024
Event17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia 2024) - Tokyo, Japan
Duration: 3 Dec 20246 Dec 2024
https://asia.siggraph.org/2024/

Publication series

NameProceedings - SIGGRAPH Asia Conference Papers, SA

Conference

Conference17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia 2024)
Abbreviated titleSA '24
PlaceJapan
CityTokyo
Period3/12/246/12/24
Internet address

Funding

We thank the anonymous reviewers for their constructive comments and suggestions, which greatly enhanced the quality of this work. Additionally, we appreciate the participants who took the time to engage in the user study. This research was supported by a startup fund by the Hong Kong University of Science and Technology (Project No. R9913) and the Chow Sang Sang Group Research Fund (Project No. 9229119).

Research Keywords

  • 3D Animation
  • Character Drawing
  • Nonphotorealistic Rendering
  • Style Transfer

RGC Funding Information

  • RGC-funded

Fingerprint

Dive into the research topics of 'DrawingSpinUp: 3D Animation from Single Character Drawings'. Together they form a unique fingerprint.

Cite this