The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

The concept of symmetry has received significant attention in computer graphics and
computer vision research in recent years. Numerous methods have been proposed to find …

We introduce a geometry-driven approach for real-time 3D reconstruction of deforming
surfaces from a single RGB-D stream without any templates or shape priors. To this end, we …

Direction fields and vector fields play an increasingly important role in computer graphics
and geometry processing. The synthesis of directional fields on surfaces, or other spatial …

Constrained by the limitations of learning toolkits engineered for other applications, such as
those in image processing, many mesh-based learning algorithms employ data flows that …

We present a method for constructing smooth n-direction fields (line fields, cross fields, etc.)
on surfaces that is an order of magnitude faster than state-of-the-art methods, while still …

Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

We introduce N‐PolyVector fields, a generalization of N‐RoSy fields for which the vectors
are neither necessarily orthogonal nor rotationally symmetric. We formally define a novel …

While scalar fields on surfaces have been staples of geometry processing, the use of
tangent vector fields has steadily grown in geometry processing over the last two decades …

We propose a method for computing global Chebyshev nets on triangular meshes. We
formulate the corresponding global parameterization problem in terms of commuting …