Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …

Neural implicit surface representations have emerged as a promising paradigm to capture
3D shapes in a continuous and resolution-independent manner. However, adapting them to …

We present a learned model of human body shape and posedependent shape variation that
is more accurate than previous models and is compatible with existing graphics pipelines …

While implicit representations have achieved high-fidelity results in 3D rendering, it remains
challenging to deforming and animating the implicit field. Existing works typically leverage …

Photorealistic telepresence requires both high-fidelity body modeling and faithful driving to
enable dynamically synthesized appearance that is indistinguishable from reality. In this …

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 …

Object deformation with linear blending dominates practical use as the fastest approach for
transforming raster images, vector graphics, geometric models and animated characters …

We present a novel neural implicit representation for articulated human bodies. Compared
to explicit template meshes, neural implicit body representations provide an efficient …

This paper proposes a method for capturing the performance of a human or an animal from
a multi-view video sequence. Given an articulated template model and silhouettes from a …