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

2021/08/26 by V Manushree, Manushree, V, Sameer Saxena +11
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CV

paper · pdf · doi:10.48550/arxiv.2108.11554

ML for Creativity and Design workshop at NeurIPS 2021

arxiv created 2022/01/07 · arxiv updated 2022/01/10

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.

Related

• Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
• Improving Sketch Colorization using Adversarial Segmentation Consistency
• Scribbler: Controlling Deep Image Synthesis with Sketch and Color
• TexSketch: Bringing Texture-Aware Colorization to Sketches
• Adversarial Segmentation Loss for Sketch Colorization