Three-dimensional map** is an increasingly important feature for recent photogrammetry
and remote sensing (RS) systems. Currently, unmanned aerial vehicles (UAVs) have …

The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

Photorealistic avatars of human faces have come a long way in recent years, yet research
along this area is limited by a lack of publicly available, high-quality datasets covering both …

Generating realistic human 3D reconstructions using image or video data is essential for
various communication and entertainment applications. While existing methods achieved …

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 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 …

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 …

We introduce a new hair modeling method that uses a dual representation of classical hair
strands and 3D Gaussians to produce accurate and realistic strand-based reconstructions …

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 …

The capture and animation of human hair are two of the major challenges in the creation of
realistic avatars for the virtual reality. Both problems are highly challenging, because hair …