Official implementation of the NeurIPS'21 paper 'Conditional Generation Using Polynomial Expansions'.

Overview

Conditional Generation Using Polynomial Expansions

License ArXiv

Official implementation of the conditional image generation experiments as described on the NeurIPS'21 paper "Conditional Generation Using Polynomial Expansions" (link).

Specifically, we include the code for image generation on class-conditional generation with CIFAR10 in the folder conditional_generation_with_gan.

Citing

If you use this code, please cite [1]:

BibTeX:

@inproceedings{
cope2021,
title={Conditional Generation Using Polynomial Expansions},
author={Chrysos, Grigorios and Georgopoulos, Markos and Panagakis, Yannis},
booktitle={Advances in neural information processing systems (NeurIPS)},
year={2021}
}

References

[1] Grigorios G. Chrysos, Markos Georgopoulos and Yannis Panagakis, Conditional Generation Using Polynomial Expansions, Advances in neural information processing systems (NeurIPS), 2021.
Owner
Grigoris
Postdoctoral researcher at EPFL. Previously, PhD at Imperial College London
Grigoris
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