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Sketch2normal: deep networks for normal map generation

Published:27 November 2017Publication History

ABSTRACT

Normal maps are of great importance for many 2D graphics applications such as surface editing, re-lighting, texture mapping and 2D shading etc. Automatically inferring normal map is highly desirable for graphics designers. Many researchers have investigated the inference of normal map from intuitive and flexiable line drawing based on traditional geometric methods while our proposed deep networks-based method shows more robustness and provides more plausible results.

References

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  1. Sketch2normal: deep networks for normal map generation

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    • Published in

      cover image ACM Conferences
      SA '17: SIGGRAPH Asia 2017 Posters
      November 2017
      114 pages
      ISBN:9781450354059
      DOI:10.1145/3145690

      Copyright © 2017 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.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 November 2017

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      Acceptance Rates

      Overall Acceptance Rate178of869submissions,20%

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