Course Schedule and Catalog
Course Schedule - Fall Semester 2022
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 542 001 (CRN: 14411)
NEURAL METHODS FOR IMAGE SYNTH
Long Title: NEURAL METHODS FOR IMAGE SYNTHESIS
Department: Electrical & Computer Eng.
Instructor: Balakrishnan, Guha
Meeting: 1:00PM - 2:15PM TR (22-AUG-2022 - 2-DEC-2022)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 30
Section Enrolled: 18
Enrollment data as of: 25-APR-2024 2:25AM
Final Exam: GR Course-Dept Schedules Exam
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.