Open course collection of 3D deep-learning/machine learning

Berkeley cs184/284a: Computer Graphics and Imaging (Spring 2020)

• https://cs184.eecs.berkeley.edu/sp20

Stanford CS231A: Computer Vision-From 3D Reconstruction to Recognition (Winter 2018)

• http://web.stanford.edu/class/cs231a/

UCSD CSE291-C00:Machine Learning on Geometrical Data (Winter 2019)

• https://cse291-i.github.io/index.html

Stanford CS468: Machine Learning for 3D Data (Spring 2017)

• http://graphics.stanford.edu/courses/cs468-17-spring/

MIT 6.838: Shape Analysis (Spring 2017)

• http://groups.csail.mit.edu/gdpgroup/6838_spring_2017.html

Princeton COS 526: Advanced Computer Graphics (Fall 2010)

• https://www.cs.princeton.edu/courses/archive/fall10/cos526/syllabus.php

Princeton CS597: Geometric Modeling and Analysis (Fall 2003)

• https://www.cs.princeton.edu/courses/archive/fall03/cs597D/

Geometric Deep Learning

• http://geometricdeeplearning.com/

Paper Collection for 3D Understanding

• https://www.cs.princeton.edu/courses/archive/spring15/cos598A/cos598A.html#Estimating

CreativeAI: Deep Learning for Graphics

• http://geometry.cs.ucl.ac.uk/creativeai/