Comparing the interpretability of GAN architectures

CSC413H1 Final Project - Winter 2021, University of Toronto (St. George)

By Henry Tu & Seel Patel

We compared the interpretability of StyleGAN and COCO-GAN using techniques such as C2ST, Image Sharpness, Color distribution, and Nearest Neighbours.

Name		Name	Last commit message	Last commit date
Latest commit History 82 Commits
Analysis		Analysis
StyleGAN		StyleGAN
c2st		c2st
dataset_management		dataset_management
failure		failure
writeup		writeup
CSC413 Project Proposal.pdf		CSC413 Project Proposal.pdf
CSC413_Final_Project_Writeup_NeurIPS.pdf		CSC413_Final_Project_Writeup_NeurIPS.pdf
README.md		README.md
project_handout.pdf		project_handout.pdf