Recovering 3d human mesh from monocular images: A survey

Y Tian, H Zhang, Y Liu, L Wang - IEEE transactions on pattern …, 2023 - ieeexplore.ieee.org
Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction

E Tretschk, N Kairanda, M BR, R Dabral… - Computer Graphics …, 2023 - Wiley Online Library
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …

Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time

HS Fang, J Li, H Tang, C Xu, H Zhu… - … on Pattern Analysis …, 2022 - ieeexplore.ieee.org
Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …

Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

K Grauman, A Westbury, L Torresani… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …

Effective whole-body pose estimation with two-stages distillation

Z Yang, A Zeng, C Yuan, Y Li - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Whole-body pose estimation localizes the human body, hand, face, and foot keypoints in an
image. This task is challenging due to multi-scale body parts, fine-grained localization for …

One-stage 3d whole-body mesh recovery with component aware transformer

J Lin, A Zeng, H Wang, L Zhang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Whole-body mesh recovery aims to estimate the 3D human body, face, and hands
parameters from a single image. It is challenging to perform this task with a single network …

Pymaf-x: Towards well-aligned full-body model regression from monocular images

H Zhang, Y Tian, Y Zhang, M Li, L An… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We present PyMAF-X, a regression-based approach to recovering a parametric full-body
model from a single image. This task is very challenging since minor parametric deviation …

Avatarrex: Real-time expressive full-body avatars

Z Zheng, X Zhao, H Zhang, B Liu, Y Liu - ACM Transactions on Graphics …, 2023 - dl.acm.org
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …

DexYCB: A benchmark for capturing hand grasping of objects

YW Chao, W Yang, Y Xiang… - Proceedings of the …, 2021 - openaccess.thecvf.com
We introduce DexYCB, a new dataset for capturing hand grasping of objects. We first
compare DexYCB with a related one through cross-dataset evaluation. We then present a …

ARCTIC: A dataset for dexterous bimanual hand-object manipulation

Z Fan, O Taheri, D Tzionas… - Proceedings of the …, 2023 - openaccess.thecvf.com
Humans intuitively understand that inanimate objects do not move by themselves, but that
state changes are typically caused by human manipulation (eg, the opening of a book). This …