XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
This addresses the problem of enhancing sketch expressivity with color for creative applications, but it appears incremental as it builds on existing datasets and techniques.
The paper tackled generating human-like colored sketches from images using two methods: image processing with k-means clustering for colored outlines and a GAN for generating colored sketches from unseen images, with results evaluated quantitatively and qualitatively.
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.