A review of 3D human pose estimation algorithms for markerless motion capture

Y Desmarais, D Mottet, P Slangen… - Computer Vision and …, 2021 - Elsevier
Human pose estimation is a very active research field, stimulated by its important
applications in robotics, entertainment or health and sports sciences, among others …

A Survey of Non‐Rigid 3D Registration

B Deng, Y Yao, RM Dyke, J Zhang - Computer Graphics Forum, 2022 - Wiley Online Library
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 …

Vid2avatar: 3d avatar reconstruction from videos in the wild via self-supervised scene decomposition

C Guo, T Jiang, X Chen, J Song… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract We present Vid2Avatar, a method to learn human avatars from monocular in-the-
wild videos. Reconstructing humans that move naturally from monocular in-the-wild videos …

Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video

E Tretschk, A Tewari, V Golyanik… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …

Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors

X Yi, Y Zhou, M Habermann… - Proceedings of the …, 2022 - openaccess.thecvf.com
Motion capture from sparse inertial sensors has shown great potential compared to image-
based approaches since occlusions do not lead to a reduced tracking quality and the …

Structured local radiance fields for human avatar modeling

Z Zheng, H Huang, T Yu, H Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
It is extremely challenging to create an animatable clothed human avatar from RGB videos,
especially for loose clothes due to the difficulties in motion modeling. To address this …

Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors

T Yu, Z Zheng, K Guo, P Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …

Nerf-ds: Neural radiance fields for dynamic specular objects

Z Yan, C Li, GH Lee - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Abstract Dynamic Neural Radiance Field (NeRF) is a powerful algorithm capable of
rendering photo-realistic novel view images from a monocular RGB video of a dynamic …

Virtual-reality interpromotion technology for metaverse: A survey

D Wu, Z Yang, P Zhang, R Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …

Deephuman: 3d human reconstruction from a single image

Z Zheng, T Yu, Y Wei, Q Dai… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D
human reconstruction from a single RGB image. To reduce the ambiguities associated with …