Computer Graphics Learning Resources
This is a collection of my learning resources on Computer Graphics (and related subjects like Deep Learning). This list will be updated continuously.
Computer Graphics and Imaging given by UC, Berkeley: If you start from scratch like me and long for a quality course covering Computer Graphics and Imaging aspects, it is a good choice.
Dive into Deep Learning: Recommend for novices since it is an interactive deep learning book with code, math, and discussions.
Geometric Deep Learning: This website presents a collection of materials in the field of Geometric Deep Learning. They collect workshops, tutorials, publications and code, that several different researchers has produced in the last years.
Ke-Sen Huang’s Home Page: Dr. Ke-Sen Huang’s personal collection on CG/CV resources, including papers, courses, posters, and some conferences’ observed acceptance rates.
Deep Graph Library: Deep Graph Library (DGL) is a Python package built for easy implementation of graph neural network model family, on top of existing DL frameworks (e.g. PyTorch, MXNet, Gluon etc.).
Except where otherwise noted, content on this site is licensed under a CC BY-SA 4.0 license, please give appropriate credit if you want to share it.