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 …

In this work, the recent advances for rapid prototy** in the orthoprosthetic industry are
presented. Specifically, the manufacturing process of orthoprosthetic aids are analysed, as …

Representing shapes as level sets of neural networks has been recently proved to be useful
for different shape analysis and reconstruction tasks. So far, such representations were …

We present a unified perspective on tackling various human-centric video tasks by learning
human motion representations from large-scale and heterogeneous data resources …

Realistic human-centric rendering plays a key role in both computer vision and computer
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …

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 …

Recently, neural networks have been used as implicit representations for surface
reconstruction, modelling, learning, and generation. So far, training neural networks to be …

We present ShapeFormer, a transformer-based network that produces a distribution of
object completions, conditioned on incomplete, and possibly noisy, point clouds. The …

In recent years, neural implicit representations gained popularity in 3D reconstruction due to
their expressiveness and flexibility. However, the implicit nature of neural implicit …

Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …