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

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 introduce a unified optimization framework for geometry processing based on shape
constraints. These constraints preserve or prescribe the shape of subsets of the points of a …

Computing locally injective mappings with low distortion in an efficient way is a fundamental
task in computer graphics. By revisiting the well-known MIPS (Most-Isometric …

The problem of mapping triangular meshes into the plane is fundamental in geometric
modeling, where planar deformations and surface parameterizations are two prominent …

We propose a novel mixed-integer programming (MIP) formulation for generating precise
sparse correspondences for highly non-rigid shapes. To this end, we introduce a projected …

Geometry processing of surface meshes relies heavily on the discretization of differential
operators such as gradient, Laplacian, and covariant derivative. While a variety of discrete …

This paper presents a new preconditioning technique for large‐scale geometric optimization
problems, inspired by applications in mesh parameterization. Our positive (semi‐) definite …