XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
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.
Cite
Text
Manushree et al. "XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches." NeurIPS 2021 Workshops: DGMs_Applications, 2021.Markdown
[Manushree et al. "XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches." NeurIPS 2021 Workshops: DGMs_Applications, 2021.](https://mlanthology.org/neuripsw/2021/manushree2021neuripsw-xcisketch/)BibTeX
@inproceedings{manushree2021neuripsw-xcisketch,
title = {{XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches}},
author = {Manushree, V and Saxena, Sameer and Chowdhury, Parna and Manthena, Manisimha Varma and Rathod, Harsh and Ghosh, Ankita and Khose, Sahil},
booktitle = {NeurIPS 2021 Workshops: DGMs_Applications},
year = {2021},
url = {https://mlanthology.org/neuripsw/2021/manushree2021neuripsw-xcisketch/}
}