GENERATIVE AI FOR IMAGE DATA
This course will cover state-of-the-art research in modern learning-based image synthesis algorithms. Each lecture will focus on one or two important research papers published at top computer vision, machine learning, or graphics venues on a topic. Each student will be responsible for presenting and leading discussion on one lecture topic in the semester. Homework assignments and a final project will require students to code algorithms covered in class. Because deep learning algorithms typically require graphical processing units (GPUs) to run efficiently, students will use Google Colab (a free cloud environment for running python code) to complete assignments.
Prerequisites & course information
Short Title: GENERATIVE AI FOR IMAGE DATA Department: Electrical & Computer Eng. Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate
Sources
- Course catalogue ↗2026–2027