5qwfpdx5fj30p60o4tc2.jpg” data-img-size-val=”906,868″> The first author of the paper is Junho Kim:
It is worth mentioning that the three authors, including Kim, are from the Korean game company NCsoft, one of the “Golden Shuangxiong” players in the game industry; the other author is from Boeing Korea Engineering. Technology Center.
NCsoft’s established online game “Paradise” (Lineage 1 & 2) was launched in 1998. It has been operating continuously for 21 years in many countries including China, as well as several well-known “Aion Tower”. game. But little is known, in fact, NCsoft is also one of the most radical companies in Korea for artificial intelligence research and development.
According to the Korea Times Report, NCsoft has established a dedicated research and development team in 2011. It currently operates two independent research institutes, the Artificial Intelligence Center and the Natural Language Processing Center. The former is responsible for game AI, speech recognition and computer vision, while the latter focuses on language understanding and knowledge systems.
NCsoft Artificial Intelligence Center, the head of the Natural Language Processing Center at the company’s eventsThe heads of the two centers directly to the company’s founder and CEO Jin Zechen Direct management, the total number of employees is about 160, and will increase to about 300 this year.
The main purpose of NCsoft’s deep learning is to introduce relevant technologies into games and services. Currently, the company is using AI to detect plug-ins and to customize services based on the player’s gaming habits and interest data.
The technology mentioned in this article will greatly improve the player’s gaming experience – perhaps without pinching your face, you can generate accurate cartoon character characters by uploading an avatar.It is.
Boeing just established an engineering and technology center in South Korea last year. Its main research interests include automation, artificial intelligence, avionics and data analysis. The technical staff of the organization is mainly from well-known universities and technology companies in South Korea.
At the moment, there isn’t a demo available for this technology, but if you are familiar with TensorFlow, you can browse the code on GitHub [2] or read the original text and follow the instructions to run on your computer. ~
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[1]U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translationhttps://arxiv.org/pdf/ 1907.10830.pdf
[2]https://github.com/taki0112/UGATIT