Language-based Colorization of Scene Sketches

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

  • Changqing ZOU
  • Haoran MO
  • Chengying GAO
  • Ruofei DU
  • Hongbo FU

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number233
Journal / PublicationACM Transactions on Graphics
Volume38
Issue number6
Publication statusPublished - Nov 2019

Link(s)

Abstract

Being natural, touchless, and fun-embracing, language-based inputs have been demonstrated effective for various tasks from image generation to literacy education for children. This paper for the first time presents a language-based system for interactive colorization of scene sketches, based on semantic comprehension. The proposed system is built upon deep neural networks trained on a large-scale repository of scene sketches and cartoonstyle color images with text descriptions. Given a scene sketch, our system allows users, via language-based instructions, to interactively localize and colorize specific foreground object instances to meet various colorization requirements in a progressive way. We demonstrate the effectiveness of our approach via comprehensive experimental results including alternative studies, comparison with the state-of-the-art methods, and generalization user studies. Given the unique characteristics of language-based inputs, we envision a combination of our interface with a traditional scribble-based interface for a practical multimodal colorization system, benefiting various applications. The dataset and source code can be found at https://github. com/SketchyScene/SketchySceneColorization.

Research Area(s)

  • Deep Neural Networks, Image Segmentation, Language-based Editing, Scene Sketch, Sketch Colorization

Citation Format(s)

Language-based Colorization of Scene Sketches. / ZOU, Changqing; MO, Haoran; GAO, Chengying; DU, Ruofei; FU, Hongbo.

In: ACM Transactions on Graphics, Vol. 38, No. 6, 233, 11.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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