This page is dedicated to hosting animated samples for the paper “Unifying GANs and Score-Based Diffusion as Generative Particle Models” (Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy), to appear at NeurIPS 2023. Cf. the paper and the code for more information.
MNIST
EDM
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/edm_mnist.webp)
Discriminator Flow
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/discr_flow_mnist.webp)
CelebA
EDM
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/edm_celeba.webp)
Discriminator Flow
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/discr_flow_celeba.webp)
Gaussians
Please refer to Appendix C of the paper for a detailed description.
EDM
![](https://jyfranceschi.fr/wp-content/uploads/2023/10/edm_gaussians.webp)
![](https://jyfranceschi.fr/wp-content/uploads/2023/10/edm_gaussians_discretized.webp)
Discriminator Flow (inference)
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/discr_flow_gaussians.webp)
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/discr_flow_gaussians_early_stop.webp)
GAN (training)
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/gan_gaussians.webp)
Score GAN (training)
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/score_gan_gaussians.webp)
![](https://jyfranceschi.fr/wp-content/uploads/2023/05/score_gan_noise_gaussians.webp)