We present FaceWarehouse, a database of 3D facial expressions for visual computing
applications. We use Kinect, an off-the-shelf RGBD camera, to capture 150 individuals aged …

In this paper, we present an integrated system for automatically generating and editing face
images through face swapping, attribute-based editing, and random face parts synthesis …

We present a fully automatic framework that digitizes a complete 3D head with hair from a
single unconstrained image. Our system offers a practical and consumer-friendly end-to-end …

Abstract We present Neural Strands, a novel learning framework for modeling accurate hair
geometry and appearance from multi-view image inputs. The learned hair model can be …

We present a novel image-based representation for dynamic 3D avatars, which allows
effective handling of various hairstyles and headwear, and can generate expressive facial …

We propose a novel approach to animate human hair in a still portrait photo. Existing work
has largely studied the animation of fluid elements such as water and fire. However, hair …

Despite the recent success of face image generation with GANs, conditional hair editing
remains challenging due to the under-explored complexity of its geometry and appearance …

Undoubtedly, high-fidelity 3D hair plays an indispensable role in digital humans. However,
existing monocular hair modeling methods are either tricky to deploy in digital systems (eg …

Tremendous efforts have been made to learn animatable and photorealistic human avatars.
Towards this end, both explicit and implicit 3D representations are heavily studied for a …

In this work, we tackle the challenging problem of learning-based single-view 3D hair
modeling. Due to the great difficulty of collecting paired real image and 3D hair data, using …