Under the umbrella of “Advanced Topics in CS”, we bring this new course in which we cover diffusion based algorithms for data synthesis. This is a hot topic in machine learning and image processing, offering iterative methods that start form random noise and end with a high quality synthesis of visual (or other!) content. This course will be given in a seminar format, in which each participant studies a specific topic/paper and lectures about it to the class.
Courses
Teaching grades so far are found HERE (in Hebrew, where 1 stands for the lowest quality and 5 the highest, the left-most column is the overall grade).