Multi-scale structures, as found in nature (eg, bone and bamboo), hold the promise of
achieving superior performance while being intrinsically lightweight, robust, and multi …

This paper provides a tutorial and survey of methods for parameterizing surfaces with a view
to applications in geometric modelling and computer graphics. We gather various concepts …

This paper introduces the Meshroom software and its underlying 3D computer vision
framework AliceVision. This solution provides a photogrammetry pipeline to reconstruct 3D …

Surfaces serve as a natural parametrization to 3D shapes. Learning surfaces using
convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this …

We address the problem of fitting 3D human models to 3D scans of dressed humans.
Classical methods optimize both the data-to-model correspondences and the human model …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

This paper describes a benchmark for evaluation of 3D mesh segmentation salgorithms. The
benchmark comprises a data set with 4,300 manually generated segmentations for 380 …

We present a scalable approach for the optimization of flip-preventing energies in the
general context of simplicial map**s and specifically for mesh parameterization. Our …

We present Motion2Fusion, a state-of-the-art 360 performance capture system that enables*
real-time* reconstruction of arbitrary non-rigid scenes. We provide three major contributions …

We present Diff3F as a simple robust and class-agnostic feature descriptor that can be
computed for untextured input shapes (meshes or point clouds). Our method distills diffusion …