1. Image production on the VACC using unique artist-made dataset, to generate 2D and 3D artifacts toward a goal of fabricating 3d artifacts in addition to 2d artifacts.
2. Document experimentation with StyleGAN2 and StyleGAN2 ADA on Model Cards, tracking GPU usage, image generation, etc.
3. Contribute to the publishing of images through art exhibitions.
4. Support programming our research group's existing genetic algorithm with new genetic traits.
5. Contribute to the group's understanding of latent space and latent space walk videos by identifying analogies (beyond mathematics) that allow the group, (as well as an audience of artists and art historians) to understand latent space as it serves as a canvas for image making.
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Undergraduate or graduate students.
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Interest and experience in programming and the arts.
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University of Vermont
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NE-University of Vermont
06/14/2021
No
Already behind3Start date is flexible
June - August 2021
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We will share image artifacts and we are developing educational tools for artists.
Exhibitions and Educational programs in under development.
Students will learn how to work with and program machine learning platforms from direct hands-on experience. Through working and sharing information with our existing team, they will be immersed in StyleGAN research on the VACC. Students will also learn of methods employed in a contemporary art practice, as well as methods of visual research and ethnographic inquiry.
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We are excited to share our aesthetic and ethnographic research with the Cyberteam. We are also developing an educational program that may be of interest and perhaps might contribute to broader educational efforts by the Cyberteam community.
Use of the VACC's DeepGreen cluster.
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