Published on Wed Dec 16 2020

Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale

Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang

Existing pencil sketch algorithms are based on texture rendering rather than direct imitation of strokes. We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process.

0
0
0
Abstract

We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithms are based on texture rendering rather than the direct imitation of strokes, making them unable to show the drawing process but only a final result. To address this challenge, we first establish a pencil stroke imitation mechanism. Next, we develop a framework with three branches to guide stroke drawing: the first branch guides the direction of the strokes, the second branch determines the shade of the strokes, and the third branch enhances the details further. Under this framework's guidance, we can produce a pencil sketch by drawing one stroke every time. Our method is fully interpretable. Comparison with existing pencil drawing algorithms shows that our method is superior to others in terms of texture quality, style, and user evaluation.

Wed Mar 20 2019
Computer Vision
Im2Pencil: Controllable Pencil Illustration from Photographs
We propose a high-quality photo-to-pencil translation method with fine-grained control over the drawing style. We create training data pairs by extracting clean outlines and tonal illustrations from original pencil drawings using image filtering techniques. In addition, we manually label the drawing styles.
0
0
0
Fri Feb 16 2018
Computer Vision
A complete hand-drawn sketch vectorization framework
This paper proposes a complete framework that automatically transforms noisy and complex hand-drawn sketches with different stroke types. The proposed framework includes a novel line extraction algorithm based on a multi-resolution application of Pearson's cross correlation.
0
0
0
Tue Aug 07 2018
Computer Vision
Deep Factorised Inverse-Sketching
Modelling human free-hand sketches has become topical recently, driven by fine-grained sketch based image retrieval(FG-SBIR) Sketches are clearly related to photo edge-maps, but a human free-hand sketch of a photo is not simply a clean rendering of
0
0
0
Thu Jun 18 2020
Computer Vision
Multi-Density Sketch-to-Image Translation Network
Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing and colorization. Previous methods only support S2I translation with a single level of density. We propose the first multi-level density sketch-to.
0
0
0
Fri Sep 04 2020
Machine Learning
SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis
The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization via transfer of geometric textural details. Lacking the necessary volumes of data for standard training of translation systems, we advocate for operation at the patch level.
0
0
0
Thu Dec 04 2008
Computer Vision
Stroke Fragmentation based on Geometry Features and HMM
Stroke fragmentation is one of the key steps in pen-based interaction. We present a unified HMM-based stroke fragmentation technique that can do segment point location and primitive type determination.
0
0
0