16 895
Understanding and Critiquing Generative Computer Vision
Carnegie Mellon University · UGRD · Fall 2026
1 section
Catalog description
In recent years, there have been significant advances in the field of large-scale generative modeling for visual data, such as DALL·E 2 and Stable Diffusion. This seminar course explores these advances beyond just reading and discussion. The goal is to not only inform state of the art but also develop critical and philosophical thinking among students. The course will involve reading papers, presentations, and discussions. The course will also involve reviewing and developing critical thinking.
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Availability not recently verifiedClass #carnegie_mellon-16895Fall 2026UGRD12 credits
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