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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Quanfita's Research Page
About me
Mengnan Qu
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
projects
SmartSeed
Open Source in Github, 2019
This is an open source image editing software modeled after Adobe Photoshop. I hope that I can use as many AI algorithms as possible to make it feature rich. Currently, this project is still in production, so stay tuned.
AIDCS
Open Source in Github, 2019
An image stylization processing platform developed in Python.
QWebStack
Open Source in Github, 2021
A Django version of the WebStack navigation site, including management, database, using SimpleUI theme in the management.
publications
Colorization for Anime Sketches with Cycle-Consistent Adversarial Network
Published in International Journal Performability Engineering, 2019
Coloring animation sketches has always been a complex and interesting task, but as the sketch is the first part of animation creation that neither presents gray value nor presents semantic information, the lack of real animation sketches is the biggest difficulty in current model training. It is also usually expensive to collect such data. In recent years, some methods based on generative adversarial networks (GANs) have achieved great success. They can generate colorized anime illustration on given sketches…
Recommended citation: Guanghua Zhang, Mengnan Qu, Yuhao Jin, Qingpeng Song. "Colorization for Anime Sketches with Cycle Consistent Adversarial Network." International Journal of Performability Engineering 15.3(2019):910-918. http://www.ijpe-online.com/EN/10.23940/ijpe.19.03.p20.910918