XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
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Abstract (arXiv)
Sketches are a medium to convey a visual scene from an individual's creative perspective. The addition of color substantially enhances the overall expressivity of a sketch. This paper proposes two methods to mimic human-drawn colored sketches by utilizing the Contour Drawing Dataset. Our first approach renders colored outline sketches by applying image processing techniques aided by k-means color clustering. The second method uses a generative adversarial network to develop a model that can generate colored sketches from previously unobserved images. We assess the results obtained through quantitative and qualitative evaluations.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 16 of its 45 references that are in the map. First posted on arXiv 26 Aug 2021.
Builds on
16 of 45 references.
References · 16
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- 2018SketchyScene: Richly-Annotated Scene Sketchescited by 32
4 more
- 2018User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networkscited by 32
- 2017Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GANcited by 28
- 2020Face Sketch Synthesis with Style Transfer using Pyramid Column Featurecited by 6
- 2019RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimizationcited by 4
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Citing papers per year: 2024: 1.
1 paper.
- 2024Freehand Sketch Generation from Mechanical Componentscited by 8
- 2024Freehand Sketch Generation from Mechanical Components12 Aug 2024