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 …

A survey of advances in vision-based human motion capture and analysis

TB Moeslund, A Hilton, V Krüger - Computer vision and image …, 2006 - Elsevier
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

Humor: 3d human motion model for robust pose estimation

D Rempe, T Birdal, A Hertzmann… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Pose-ndf: Modeling human pose manifolds with neural distance fields

G Tiwari, D Antić, JE Lenssen, N Sarafianos… - … on Computer Vision, 2022 - Springer
We present Pose-NDF, a continuous model for plausible human poses based on neural
distance fields (NDFs). Pose or motion priors are important for generating realistic new …

Cotracker: It is better to track together

N Karaev, I Rocco, B Graham, N Neverova… - arXiv preprint arXiv …, 2023 - arxiv.org
Methods for video motion prediction either estimate jointly the instantaneous motion of all
points in a given video frame using optical flow or independently track the motion of …

Particle video revisited: Tracking through occlusions using point trajectories

AW Harley, Z Fang, K Fragkiadaki - European Conference on Computer …, 2022 - Springer
Tracking pixels in videos is typically studied as an optical flow estimation problem, where
every pixel is described with a displacement vector that locates it in the next frame. Even …

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 …

Self-supervised video object segmentation by motion grouping

C Yang, H Lamdouar, E Lu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Animals have evolved highly functional visual systems to understand motion, assisting
perception even under complex environments. In this paper, we work towards developing a …

Support vector machines and word2vec for text classification with semantic features

J Lilleberg, Y Zhu, Y Zhang - 2015 IEEE 14th International …, 2015 - ieeexplore.ieee.org
With the rapid expansion of new available information presented to us online on a daily
basis, text classification becomes imperative in order to classify and maintain it. Word2vec …

Multimodal deep autoencoder for human pose recovery

C Hong, J Yu, J Wan, D Tao… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Video-based human pose recovery is usually conducted by retrieving relevant poses using
image features. In the retrieving process, the mapping between 2D images and 3D poses is …