Syllabus

SubjectDATA-DRIVEN ART

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
33100
Subject Sort
X1061
Title
DATA-DRIVEN ART
Field
Special Subjects
Unit
2 Unit
Year/Semester
2021 Fall
K-Number
Year/Semester
2021 Fall
Day of Week・Period
Lecturer Name
Daito Manabe,Patrick Savage E,Shinya Fujii,Nao Tokui,Akira Wakita
Class Format
Online (Live)
Language
Japanese
Location
Other
Class Style
*Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture, Seminar
GIGA Certificate
Not applied

Detail

Course Summary

In this lecture, we will deal with data, AI-based art creation, and storytelling. This year, we will work on image generation using the latest AI image generation technology. In particular, we will work on generating images based on text input by combining VQ-VAE and CLIP models. At the same time, we will mint the AI-generated images as NFTs and try to speculate on what will happen when data-based "art" is connected to the art market. After each student has worked on his or her own work, the final session will be a critique session with guests.