grigorisg9gr / polynomial_nets_for_conditional_generation

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

Conditional Generation Using Polynomial Expansions

Official implementation of the conditional image generation experiments as described on the NeurIPS'21 paper "Conditional Generation Using Polynomial Expansions" (link or ArXiv 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 cite¹:

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.↩