Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …

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 …

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

Facial editing is an important task in vision and graphics with numerous applications.
However, existing works are incapable to deliver a continuous and fine-grained editing …

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 …

There has been a recent explosion of impressive generative models that can produce high
quality images (or videos) conditioned on text descriptions. However, all such approaches …

Face recognition is a long standing challenge in the field of Artificial Intelligence (AI). The
goal is to create systems that accurately detect, recognize, verify, and understand human …

In this work, we propose a new task called Story Visualization. Given a multi-sentence
paragraph, the story is visualized by generating a sequence of images, one for each …

Video tampering methods have witnessed considerable progress in recent years. This is
partly due to the rapid development of advanced deep learning methods, and also due to …

Since photorealistic faces can be readily generated by facial manipulation technologies
nowadays, potential malicious abuse of these technologies has drawn great concerns …