Abstract We propose Deep Feature Interpolation (DFI), a new data-driven baseline for
automatic high-resolution image transformation. As the name suggests, DFI relies only on …

We present a real-time performance-driven facial animation system based on 3D shape
regression. In this system, the 3D positions of facial landmark points are inferred by a …

The animation of 3D faces has been a critical component of character animation in a wide
range of media since the early 90's. The conventional process for animating a 3D face is …

Conversational information retrieval is a relatively new and fast-developing research area,
but conversation itself has been well studied for decades. Researchers have analysed …

We reconstruct a controllable model of a person from a large photo collection that captures
his or her persona, ie, physical appearance and behavior. The ability to operate on …

Many tasks in computer vision can be cast as a" label changing" problem, where the goal is
to make a semantic change to the appearance of an image or some subject in an image in …

While facial capturing focuses on accurate reconstruction of an actor's performance, facial
animation retargeting has the goal to transfer the animation to another character, such that …

This paper focuses on the problem of generating human face pictures from specific
attributes. The existing CNN-based face generation models, however, either ignore the …

Animating human face presents interesting challenges because of its familiarity as the face
is the part utilized to recognize individuals. This paper reviewed the approaches used in …

In this paper we present a new paradigm for the generation and retargeting of facial
animation. Like a vast majority of the approaches that have adressed these topics, our …