MPCC: Matching Priors and Conditionals for Clustering

1 code implementation • ECCV 2020 • Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez

Our experiments show that adding a learnable prior and augmenting the number of encoder updates improve the quality of the generated samples, obtaining an inception score of 9. 49 $\pm$ 0. 15 and improving the Fr\'echet inception distance over the state of the art by a 46. 9% in CIFAR10.

Clustering Decoder