ELEC 542 - NEURAL METHODS FOR IMAGE SYNTH
Long Title: NEURAL METHODS FOR IMAGE SYNTHESIS
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Must be enrolled in one of the following Level(s):
Description: 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.