313 citations · 337 across the 3 of their papers we have counts for
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Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen, Eirikur Agustsson, Mario Lucic
We propose and study the problem of distribution-preserving lossy compression. Motivated by recent advances in extreme image compression which allow to maintain artifact-free recon…
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models
Eirikur Agustsson, Alexander Sage, Radu Timofte +1
Generative models such as Variational Auto Encoders (VAEs) and Generative Adversarial Networks (GANs) are typically trained for a fixed prior distribution in the latent space, such…
k2-means for fast and accurate large scale clustering
Eirikur Agustsson, Radu Timofte, Luc Van Gool
We propose k^2-means, a new clustering method which efficiently copes with large numbers of clusters and achieves low energy solutions. k^2-means builds upon the standard k-means (…