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Computer Science > Computer Vision and Pattern Recognition

arXiv:2108.11554 (cs)
[Submitted on 26 Aug 2021 (v1), last revised 7 Jan 2022 (this version, v2)]

Title:XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches

Authors:V Manushree, Sameer Saxena, Parna Chowdhury, Manisimha Varma, Harsh Rathod, Ankita Ghosh, Sahil Khose
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Abstract: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.
Comments: ML for Creativity and Design workshop at NeurIPS 2021
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:2108.11554 [cs.CV]
  (or arXiv:2108.11554v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2108.11554

Submission history

From: Sahil Khose [view email]
[v1] Thu, 26 Aug 2021 02:27:55 UTC (2,467 KB)
[v2] Fri, 7 Jan 2022 13:10:09 UTC (4,015 KB)
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