75 citations · 118 across the 50 of their papers we have counts for
4 papers · 1 filter
Enhancing Perceptual Attributes with Bayesian Style Generation
Aliaksandr Siarohin, Gloria Zen, Nicu Sebe +1
Deep learning has brought an unprecedented progress in computer vision and significant advances have been made in predicting subjective properties inherent to visual data (e.g., me…
Animating Arbitrary Objects via Deep Motion Transfer
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov +2
This paper introduces a novel deep learning framework for image animation. Given an input image with a target object and a driving video sequence depicting a moving object, our fra…
Whitening and Coloring batch transform for GANs
Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
Batch Normalization (BN) is a common technique used to speed-up and stabilize training. On the other hand, the learnable parameters of BN are commonly used in conditional Generativ…
Deformable GANs for Pose-based Human Image Generation
Aliaksandr Siarohin, Enver Sangineto, Stephane Lathuiliere +1
In this paper we address the problem of generating person images conditioned on a given pose. Specifically, given an image of a person and a target pose, we synthesize a new image…