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[HTML][HTML] Deep 3D human pose estimation: A review
Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …
3D joint locations of a human body from an image or video. Due to its widespread …
Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
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 …
Motionbert: A unified perspective on learning human motion representations
We present a unified perspective on tackling various human-centric video tasks by learning
human motion representations from large-scale and heterogeneous data resources …
human motion representations from large-scale and heterogeneous data resources …
Motion-x: A large-scale 3d expressive whole-body human motion dataset
In this paper, we present Motion-X, a large-scale 3D expressive whole-body motion dataset.
Existing motion datasets predominantly contain body-only poses, lacking facial expressions …
Existing motion datasets predominantly contain body-only poses, lacking facial expressions …
Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video
Recent transformer-based solutions have been introduced to estimate 3D human pose from
2D keypoint sequence by considering body joints among all frames globally to learn spatio …
2D keypoint sequence by considering body joints among all frames globally to learn spatio …
Monohuman: Animatable human neural field from monocular video
Animating virtual avatars with free-view control is crucial for various applications like virtual
reality and digital entertainment. Previous studies have attempted to utilize the …
reality and digital entertainment. Previous studies have attempted to utilize the …
Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model
With the recent surge in popularity of AR/VR applications, realistic and accurate control of
3D full-body avatars has become a highly demanded feature. A particular challenge is that …
3D full-body avatars has become a highly demanded feature. A particular challenge is that …
3d human pose estimation with spatial and temporal transformers
Transformer architectures have become the model of choice in natural language processing
and are now being introduced into computer vision tasks such as image classification, object …
and are now being introduced into computer vision tasks such as image classification, object …
Human pose estimation using mediapipe pose and optimization method based on a humanoid model
Seniors who live alone at home are at risk of falling and injuring themselves and, thus, may
need a mobile robot that monitors and recognizes their poses automatically. Even though …
need a mobile robot that monitors and recognizes their poses automatically. Even though …