Color by Numbers: Interactive Structuring and Vectorization of Sketch Imagery
Amal Dev Parakkat, Marie-Paule Cani, Karan Singh
Abstract
We present a novel, interactive interface for the integrated cleanup, neatening, structuring and vectorization of sketch imagery. Converting scanned raster drawings into vector illustrations is a wellresearched set of problems. Our approach is based on a Delaunay subdivision of the raster drawing. We algorithmically generate a colored grouping of Delaunay regions that users interactively refine by dragging and dropping colors. Sketch strokes defined as marking boundaries of different colored regions are automatically neatened using Bézier curves, and turned into closed regions suitable for fills, textures, layering and animation. We show that minimal user interaction using our technique enables better sketch vectorization than state of art automated approaches. A user study, further shows our interface to be simple, fun and easy to use, yet effectively able to process messy images with a mix of construction lines, noisy and incomplete curves, sketched with arbitrary stroke style.
• Applied computing → Fine arts; • Human-centered computing → Systems and tools for interaction design; • Computing methodologies → Image manipulation.
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Cited by top-tier papers5
- Recognizing Vector Graphics without RasterizationXinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen et al.NeurIPS 2021 · 28 citations
- filtered.ink: Creating Dynamic Illustrations with SVG FiltersTongyu Zhou, Connie Liu, Joshua Kong Yang, Jeff HuangCHI 2023 · 11 citations
- Differential Operators on Sketches via Alpha ContoursMariia Myronova, William Neveu, Mikhail BessmeltsevSIGGRAPH 2023 · 4 citations
- RendNet: Unified 2D/3D Recognizer with Latent Space RenderingRuoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang et al.CVPR 2022 · 4 citations
- FlatGAN: A Holistic Approach for Robust Flat-Coloring in High-Definition with Understanding Line DiscontinuityHan Kim, Chunggi Lee, Junsoo Lee, Dohyun Kim et al.ACM MM 2023 · 1 citation
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