2024f Instructor |
MAT255 Techniques, History & Aesthetics of the Computational Photographic Image George Legrady | http://vislab.mat.ucsb.edu Course materials are protected by US Copyright laws and by University policy. Contents of this course may not be reproduced, distributed, or displayed without my express prior written consent. Tues-Thurs 1-2:50pm (some lectures may be online) otherwise Lab 2611, 2nd flr, ELings Hall |
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Course Information
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An interdisciplinary course that examines, thorugh case studies, the state of the photographic image, its history, the theoretical, conceptual, and philosophical underpinnings. The course bridges studio arts, engineering, and humanities. This course may be of interest to artists, humanities researchers or programmers as there are three directions to explore:
The end goal is to investigate the photograph’s transformation through weekly presentations of projects, methods and discussion leading up to the impact of machine-learning on the creative process resulting in computational generated artworks. | |
Course Workload |
Attendance and participation at zoom lectures Weekly contribution to course journal at Student Forum | Legal agreement Final presentation pdf documentation of either a research paper OR project |
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09/28 |
Course Overview, Apparatus Fundamentals |
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10/03 10/05 Lab |
MidJourney Introduction Discord Link MidJourney Controls MidJourney Variations | Will Wulken Prompt Control Studies> MidJourney 1 |
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10/10 10/12 Lab |
The Image as Statistical Average Nancy Burson Jason Salavon A Kind of Alchemy: The Work of Art in the Age of Artificial Intelligence | AI Post Photography Diffusion Model Diffusion Model| Guassian Distribution MidJourney Project 2 |
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10/17 10/19 Lab |
Training Set DataBase LAOIN5B Conceptual Captions (CC3M) YouTube 8M HaveIbeentrained.com The Uncanny MidJourney Project 3 |
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Reference Links |
Lev Manovich: Artifical Aesthetics: A Critical Guide to AI: Media and Design Evidence: Evidence |
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Student Projects |
To be posted at end of the course |
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