| Title | University Researchers Band Together to "Make Girls Moe" | |
| Date | Friday August 18 2017, @09:43PM | |
| Author | martyb | |
| Topic | ||
| from the anime++ dept. | ||
Just when you thought that anime character designs couldn't get any more generic, machine learning comes to the rescue:
A collaborative team from Fudan University, Carnegie Mellon University, Tongji University and Stony Brook University have created a generative adversarial network (GAN) that can generate high-quality anime character drawings with just minimal input from humans. You can check the demonstration website and make your own anime renders by inputting some basic preferences.
You can choose hair and eye color and then decide on what accessories you might like such as glasses, hats or ribbons. The site will then generate a character for you based on your inputs. There are some things that could be improved for sure, but overall, it's a really fun application.
Researchers used a technique called DRAGAN to train the AI. The demo site was built on ReactJS. The scientists have summed up the full process in more detail in this technical report. The source code is also available from here.
Of course, designing a character is only the first step. How about a custom Gatebox holographic waifu? Or import your character into an advanced VR fantasy world powered by petaflops GPUs. Which is just a stopgap measure until you jack into the Matrix directly, allowing you to caress your loved one (as far as your brain is concerned).
Is this what happens when you poach Carnegie Mellon University's top scientists?
"Moe" (pronounced "mo-ayyy") refers to "kawaii"/cute characters.
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printed from SoylentNews, University Researchers Band Together to "Make Girls Moe" on 2024-04-28 07:17:09
