Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale
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This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"
Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale
This is the official implementation of the AAAI 2021: AAAI Conference on Artificial Intelligence accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale".
Our paper's official AAAI version is available at: https://ojs.aaai.org/index.php/AAAI/article/view/16140
Our Supplementary Material (PDF) is available at Baidu Netdisk (百度网盘) https://pan.baidu.com/s/1ZZEmpuPXRNBPvG0WHbbPKA. The extraction code (提取码) is 1234
.
An interesting H5 demo using our codes by Xinhua News Agency (新华社) can be found at https://mp.weixin.qq.com/s/v9WooHpZiqo2uVgl2htxeA
Here we give some instructions for running our code.
Authors
First Author
Zhengyan Tong (童峥岩), 此论文idea提供者、代码原作者、论文主笔者,主要从事计算机视觉方面的研究。发表此论文时为上海交通大学电子信息与电气工程学院信息工程专业大四在读本科生。联系方式: [email protected]
Other Authors
- Xuanhong Chen (Shanghai Jiao Tong University Ph. D.)
- Bingbing Ni (Shanghai Jiao Tong University Associate Professor) Corresponding author
- Xiaohang Wang (Shanghai Jiao Tong University Undergraduate)
Acknowledgments
- I am extremely grateful to the Second Author Xuanhong Chen for his professional advice, comments, and encouragement, which greatly improves this work.
- In particular,I would like to express my gratitude to my junior high school classmate Tianhao Shen for his enthusiastic and selfless help in code debugging, although he is not one of the authors of this paper.
Examples
We give three examples that can be run directly (the hyperparameters of these three examples have been fixed).
Quick start
- To draw the cat:
python cat.py
- To draw the dog:
python dog.py
- To draw the girl:
python girl.py
Results
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Instructions
To draw arbitrary input: python process_order.py
. Of course you need to adjust the following parameters.
Hyperparameters
-
input_path = './input/your file'
Input image path -
output_path = './output'
Do not change this -
n = 10
Gray-scale quantization order -
period = 5
Line(stroke) width -
direction = 10
Direction quantization order -
Freq = 100
Save the drawing process everyFreq
strokes are drawn -
deepen = 1
Edge map's intensity. The bigger, the darker. -
transTone = False
Do not change this -
kernel_radius = 3
Edge tangent flow kernel size, do not change this -
iter_time = 15
Edge tangent flow kernel iterations times, do not change this -
background_dir = None
Whether fix the drawing direction in the background, this value could beNone
or an integer between(0~180)
-
CLAHE = True
Whether input uses CLAHE (Do not change this) -
edge_CLAHE = True
Whether edge map uses CLAHE (Do not change this) -
draw_new = True
Do not change this -
random_order = False
Use random drawing order ifTrue
-
ETF_order = True
Use the drawing order described in our paper ifTrue
-
process_visible = True
Whether show the drawing process
In our supplementary material (PDF), we explain these hyperparameters in more detail and we show more comparisons with existing pencil drawing algorithms. We also offer more
results of our method. Our Supplementary Material is available at Baidu Netdisk (百度网盘) https://pan.baidu.com/s/1ZZEmpuPXRNBPvG0WHbbPKA. The extraction code (提取码) is 1234
.
To cite our paper
@inproceedings{DBLP:conf/aaai/TongCNW21,
author = {Zhengyan Tong and
Xuanhong Chen and
Bingbing Ni and
Xiaohang Wang},
title = {Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale},
booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI}
2021},
year = {2021},
}
Results
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