skip to main content
10.1145/3230744.3230777acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
poster

Painting with DEGAS: (digitally extrapolated graphics via algorithmic strokes)

Published:12 August 2018Publication History

ABSTRACT

Most photograph-to-oil-painting algorithms are based off of the techniques described by [Litwinowicz 1997] and improved upon by [Hertzmann 2001]. They are essentially fully-automated processes which place strokes at random, choosing stroke orientations to follow local gradient normals. These strokes are built up over several layers, each layer in a decreasing order of stroke size - painting broad strokes and then filling in details. Outside of the initial chosen parameters and some masking considerations, the user has little agency in how the algorithm chooses stroke placement, nor has the ability to make direct changes or touch-ups until every stroke is laid down on the canvas - essentially it behaves like an "image filter" applied as one would adjust contrast or add texture.

Skip Supplemental Material Section

Supplemental Material

13-203.mp4

mp4

121.3 MB

References

  1. Zhili Chen. 2016. Adobe WetBrush. https://www.youtube.com/watch?v=k_ndr3qDXKoGoogle ScholarGoogle Scholar
  2. Emmanuel Flores and Bas Korsten. 2016. The Next Rembrandt. http://www.nextrembrandt.com/Google ScholarGoogle Scholar
  3. Aaron Hertzmann. 2001. Algorithms for rendering in artistic styles. Ph.D. Dissertation. https://cs.nyu.edu/media/publications/hertzmann_aaron.pdfGoogle ScholarGoogle Scholar
  4. Peter Litwinowicz. 1997. Processing images and video for an impressionist effect. Association for Computing Machinery, 407--414. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.87.6457&rep=rep1&type=pdfGoogle ScholarGoogle Scholar
  5. Sergey Morugin. 2015. http://www.ostagram.ru/,https://github.com/SergeyMorugin/ostagramGoogle ScholarGoogle Scholar

Index Terms

  1. Painting with DEGAS: (digitally extrapolated graphics via algorithmic strokes)

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
          August 2018
          148 pages
          ISBN:9781450358170
          DOI:10.1145/3230744

          Copyright © 2018 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 12 August 2018

          Check for updates

          Qualifiers

          • poster

          Acceptance Rates

          Overall Acceptance Rate1,822of8,601submissions,21%

          Upcoming Conference

          SIGGRAPH '24
        • Article Metrics

          • Downloads (Last 12 months)2
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader