Autocomplete hand-drawn animations

@article{Xing2015AutocompleteHA,
  title={Autocomplete hand-drawn animations},
  author={Jun Xing and Li-Yi Wei and Takaaki Shiratori and Koji Yatani},
  journal={ACM Trans. Graph.},
  year={2015},
  volume={34},
  pages={169:1-169:11}
}
  • Jun Xing, Li-Yi Wei, +1 author Koji Yatani
  • Published 2015
  • Computer Science
  • ACM Trans. Graph.
  • Hand-drawn animation is a major art form and communication medium, but can be challenging to produce. [...] Key Method The interface also offers suggestions to beautify existing drawings. Our system can reduce manual workload and improve output quality without compromising natural drawing flow and control: users can accept, ignore, or modify such predictions visualized on the canvas by simple gestures. Our key idea is to extend the local similarity method in [Xing et al. 2014], which handles only low-level…Expand Abstract

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 41 CITATIONS, ESTIMATED 88% COVERAGE

    FILTER CITATIONS BY YEAR

    2016
    2020

    CITATION STATISTICS

    • 1 Highly Influenced Citations

    • Averaged 8 Citations per year from 2018 through 2020

    References

    Publications referenced by this paper.
    SHOWING 1-9 OF 9 REFERENCES

    As-rigid-as-possible shape manipulation

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Handwriting beautification using token means

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Embedded deformation for shape manipulation

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Global Correspondence Optimization for Non-Rigid Registration of Depth Scans

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Non-Rigid Registration Under Isometric Deformations

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Shape matching and object recognition using shape contexts

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL