Computational aesthetics analyzes various expressions arising in art and music works from an aesthetic perspective, and strives to utilize them for the purpose of re-synthesis. Evaluation of such diverse expressions, including exaggeration and omission, is not unified; it does change depending on the intention of the creator and the taste of a person who appreciates the work. This team pursues computational approaches to identification of aesthetic elements.
Members
 ：April enrollment |  ：September enrollment |  ：Team leader |
Research themes
of Cape (2023―)
A production support system for wind-deformed animation of cape
Portrait Illustrations (2023―)
Generation of complementary background images for portrait illustrations using interactive genetic algorithm
Visual analysis of leading lines based on differential topology
(2022―)
A house dance design system
based on constructive choreographic process
Photo Retouching (2021―)
Photo retouching for mixed painting material style in digital illustrations
Non-player Crowd (2020―)
Gernerating naturally animated crowd scenes with non-player characters based on arousal-valence model
3D Anime-like NPC (2019―)
Automatic generation of 3D natural Anime-like non-player characters with machine learning
Suspended themes