ELEC 542: NEURAL METHODS FOR IMAGE SYNTH
Fall 2023 · Section 001 · CRN 14411
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.
- Credits
- 3
- Instructors
- Guha Balakrishnan