Recent advances of monocular 2d and 3d human pose estimation: a deep learning perspective

W Liu, Q Bao, Y Sun, T Mei - ACM Computing Surveys, 2022 - dl.acm.org
Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Generative adversarial networks: introduction and outlook

K Wang, C Gou, Y Duan, Y Lin… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
Recently, generative adversarial networks U+ 0028 GANs U+ 0029 have become a
research focus of artificial intelligence. Inspired by two-player zero-sum game, GANs …

[PDF][PDF] 生成式对抗网络GAN 的研究进展与展望

王坤峰, 苟超, 段艳杰, 林懿伦, 郑心湖, 王飞跃 - 自动化学报, 2017 - researchgate.net
摘要生成式对抗网络GAN (Generative adversarial networks) 目前已经成为人工智能学界一个
热门的研究方向. GAN 的基本思想源自博弈论的二人零和博弈, 由一个生成器和一个判别器构成 …

Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion

MJ Black, P Patel, J Tesch… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We show, for the first time, that neural networks trained only on synthetic data achieve state-
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …

Poseaug: A differentiable pose augmentation framework for 3d human pose estimation

K Gong, J Zhang, J Feng - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
Existing 3D human pose estimators suffer poor generalization performance to new datasets,
largely due to the limited diversity of 2D-3D pose pairs in the training data. To address this …

Monocular human pose estimation: A survey of deep learning-based methods

Y Chen, Y Tian, M He - Computer vision and image understanding, 2020 - Elsevier
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 …

Semantic graph convolutional networks for 3d human pose regression

L Zhao, X Peng, Y Tian, M Kapadia… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for
regression. Current architectures of GCNs are limited to the small receptive field of …

Densepose: Dense human pose estimation in the wild

RA Güler, N Neverova… - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
In this work we establish dense correspondences between an RGB image and a surface-
based representation of the human body, a task we refer to as dense human pose …

Vnect: Real-time 3d human pose estimation with a single rgb camera

D Mehta, S Sridhar, O Sotnychenko, H Rhodin… - Acm transactions on …, 2017 - dl.acm.org
We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

Cut, paste and learn: Surprisingly easy synthesis for instance detection

D Dwibedi, I Misra, M Hebert - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
A major impediment in rapidly deploying object detection models for instance detection is
the lack of large annotated datasets. For example, finding a large labeled dataset containing …