Automatic Generation of 3D Natural Anime-like Non-Player Characters with Machine Learning

Ruizhe Li, Masanori Nakayama, Issei Fujishiro

研究成果: Conference contribution

抄録

In role-playing games, creators always use specific models to generate non-player characters (NPCs). The prefabricated models are materialized in the scenes, and if more NPCs are included than character models prepared, the players may easily find many NPCs with similar appearances, which makes the scenes unnatural. In this paper, we propose a novel system for generating a rich variety of 3D anime-like NPCs in real time to make the scenes look more natural. We combine a proprietary character customization system with machine learning, where the customizing parameters are treated as feature vectors input in the neural network. The parameters are trained to avoid generating bad-looking models. We demonstrate that the proposed system can generate a natural school classroom scene with a variety of good-looking female student NPCs in a uniform.

本文言語English
ホスト出版物のタイトルProceedings - 2020 International Conference on Cyberworlds, CW 2020
編集者Alexei Sourin, Christophe Charier, Christophe Rosenberger, Olga Sourina
出版社Institute of Electrical and Electronics Engineers Inc.
ページ110-116
ページ数7
ISBN(電子版)9781728164977
DOI
出版ステータスPublished - 2020 9
イベント19th International Conference on Cyberworlds, CW 2020 - Virtual, Caen, France
継続期間: 2020 9 292020 10 1

出版物シリーズ

名前Proceedings - 2020 International Conference on Cyberworlds, CW 2020

Conference

Conference19th International Conference on Cyberworlds, CW 2020
CountryFrance
CityVirtual, Caen
Period20/9/2920/10/1

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Modelling and Simulation

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