activity
20182022
most citedDwNet: Dense warp-based network for pose-guided human video generation

9 citations · 10 across the 3 of their papers we have counts for

collaborators

13 papers

cs.CV20221 cited

Playable Environments: Video Manipulation in Space and Time

Willi Menapace, Stéphane Lathuilière, Aliaksandr Siarohin +4

We present Playable Environments - a new representation for interactive video generation and manipulation in space and time. With a single image at inference time, our novel framew…

cs.CV2021

Motion Representations for Articulated Animation

Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren +2

We propose novel motion representations for animating articulated objects consisting of distinct parts. In a completely unsupervised manner, our method identifies object parts, tra…

cs.CV2021

Playable Video Generation

Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov +2

This paper introduces the unsupervised learning problem of playable video generation (PVG). In PVG, we aim at allowing a user to control the generated video by selecting a discrete…

cs.CV2020

TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation

Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto +2

Most domain adaptation methods consider the problem of transferring knowledge to the target domain from a single source dataset. However, in practical applications, we typically ha…

cs.CV2020

Motion-supervised Co-Part Segmentation

Aliaksandr Siarohin, Subhankar Roy, Stéphane Lathuilière +3

Recent co-part segmentation methods mostly operate in a supervised learning setting, which requires a large amount of annotated data for training. To overcome this limitation, we p…

cs.CV2020

First Order Motion Model for Image Animation

Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov +2

Image animation consists of generating a video sequence so that an object in a source image is animated according to the motion of a driving video. Our framework addresses this pro…