32 citations · 74 across the 5 of their papers we have counts for
5 papers
Smart, Deep Copy-Paste
Tiziano Portenier, Qiyang Hu, Paolo Favaro +1
In this work, we propose a novel system for smart copy-paste, enabling the synthesis of high-quality results given a masked source image content and a target image context as input…
Learning to Take Directions One Step at a Time
Qiyang Hu, Adrian Wälchli, Tiziano Portenier +2
We present a method to generate a video sequence given a single image. Because items in an image can be animated in arbitrarily many different ways, we introduce as control signal…
FaceShop: Deep Sketch-based Face Image Editing
Tiziano Portenier, Qiyang Hu, Attila Szabó +3
We present a novel system for sketch-based face image editing, enabling users to edit images intuitively by sketching a few strokes on a region of interest. Our interface features…
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…