74 citations · 634 across the 41 of their papers we have counts for
4 papers · 1 filter
Challenges in Disentangling Independent Factors of Variation
Attila Szabó, Qiyang Hu, Tiziano Portenier +2
We study the problem of building models that disentangle independent factors of variation. Such models could be used to encode features that can efficiently be used for classificat…
Disentangling Factors of Variation by Mixing Them
Qiyang Hu, Attila Szabó, Tiziano Portenier +2
We propose an approach to learn image representations that consist of disentangled factors of variation without exploiting any manual labeling or data domain knowledge. A factor of…
Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro +1
In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of im…
Image Restoration using Autoencoding Priors
Siavash Arjomand Bigdeli, Matthias Zwicker
We propose to leverage denoising autoencoder networks as priors to address image restoration problems. We build on the key observation that the output of an optimal denoising autoe…