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README.md

PacGAN: The power of two samples in generative adversarial networks

[paper (arXiv)] [paper (NeurIPS)] [poster] [website] [interview (youtube)] [code]

Authors: Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh

CelebA experiments

Prerequisites

The codes are based on Taehoon Kim's implementation of DCGAN. Before running codes, please download CelebA dataset according to instructions on this page, and put *.jpg files under ./celebA/img_align_celeba folder. Many thanks to Taehoon Kim!

Before running codes, you may need to change GPU configurations according to the devices you have. The configurations are set in config.py in each directory. Please refer to GPUTaskScheduler github page for details of how to make proper configurations.

Running code

python main.py