Materials

Books

There is no official textbook for this course. But you will find the following textbooks useful. Both of them have free online versions.

• Computer Vision: Algorithms and Applications, Richard Szeliski, 2010
• Deep Learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016

Related Courses at CMU and Elsewhere

• Computational Photography ( Ioannis (Yannis) Gkioulekas, CMU)
• Image Manipulation and Computational Photography (Alyosha Efros, UC Berkeley)
• Computational Photography and Image Manipulation (James Tompkin, Brown University)
• Computational Video Manipluation (Maneesh Agrawala, Ohad Fried, and Michael Zollhöfer, Stanford)
• Computer Graphics in the Era of AI (C. Karen Liu and Jiajun Wu, Stanford)
• Deep Learning for Computer Graphics (Nima Klantari, TAMU)

Additional Course Materials

If you are not familiar with PyTorch or Deep learning, use any online tutorial to get a handle of it.

• Pytorch Tutorial
• Some good examples: Basic Pytorch Examples by Justin Johnson