Recent advances of monocular 2d and 3d human pose estimation: a deep learning perspective
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 …
topic in the computer vision community with many applications. Recently, benefiting from the …
Generative adversarial networks: introduction and outlook
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 …
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 …
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
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 …
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
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 …
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
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 …
challenging problems in computer vision, aims to obtain posture of the human body from …
Semantic graph convolutional networks for 3d human pose regression
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 …
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 …
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
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 …
in a stable, temporally consistent manner using a single RGB camera. Our method combines …
Cut, paste and learn: Surprisingly easy synthesis for instance detection
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 …
the lack of large annotated datasets. For example, finding a large labeled dataset containing …