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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 …
Human motion generation: A survey
Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …
immense potential for real-world applications. Substantial progress has been made recently …
A metaverse: Taxonomy, components, applications, and open challenges
Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …
based on the social value of Generation Z that online and offline selves are not different …
Decoupling human and camera motion from videos in the wild
We propose a method to reconstruct global human trajectories from videos in the wild. Our
optimization method decouples the camera and human motion, which allows us to place …
optimization method decouples the camera and human motion, which allows us to place …
Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
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 …
based approaches since occlusions do not lead to a reduced tracking quality and the …
Humor: 3d human motion model for robust pose estimation
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose
and shape. Though substantial progress has been made in estimating 3D human motion …
and shape. Though substantial progress has been made in estimating 3D human motion …
Recovering 3d human mesh from monocular images: A survey
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 …
computer vision. Since the release of statistical body models, 3D human mesh recovery has …
Live speech portraits: real-time photorealistic talking-head animation
To the best of our knowledge, we first present a live system that generates personalized
photorealistic talking-head animation only driven by audio signals at over 30 fps. Our system …
photorealistic talking-head animation only driven by audio signals at over 30 fps. Our system …
Transpose: Real-time 3d human translation and pose estimation with six inertial sensors
Motion capture is facing some new possibilities brought by the inertial sensing technologies
which do not suffer from occlusion or wide-range recordings as vision-based solutions do …
which do not suffer from occlusion or wide-range recordings as vision-based solutions do …
Humman: Multi-modal 4d human dataset for versatile sensing and modeling
Abstract 4D human sensing and modeling are fundamental tasks in vision and graphics with
numerous applications. With the advances of new sensors and algorithms, there is an …
numerous applications. With the advances of new sensors and algorithms, there is an …