Deep learning-based human pose estimation: A survey

C Zheng, W Wu, C Chen, T Yang, S Zhu, J Shen… - ACM Computing …, 2023 - dl.acm.org
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 …

[HTML][HTML] Deep 3D human pose estimation: A review

J Wang, S Tan, X Zhen, S Xu, F Zheng, Z He… - Computer Vision and …, 2021 - Elsevier
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 …

4d gaussian splatting for real-time dynamic scene rendering

G Wu, T Yi, J Fang, L Xie, X Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …

Motiondiffuse: Text-driven human motion generation with diffusion model

M Zhang, Z Cai, L Pan, F Hong, X Guo, L Yang… - arXiv preprint arXiv …, 2022 - arxiv.org
Human motion modeling is important for many modern graphics applications, which typically
require professional skills. In order to remove the skill barriers for laymen, recent motion …

Hexplane: A fast representation for dynamic scenes

A Cao, J Johnson - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …

Generating diverse and natural 3d human motions from text

C Guo, S Zou, X Zuo, S Wang, W Ji… - Proceedings of the …, 2022 - openaccess.thecvf.com
Automated generation of 3D human motions from text is a challenging problem. The
generated motions are expected to be sufficiently diverse to explore the text-grounded …

Generating human motion from textual descriptions with discrete representations

J Zhang, Y Zhang, X Cun, Y Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this work, we investigate a simple and must-known conditional generative framework
based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained …

Executing your commands via motion diffusion in latent space

X Chen, B Jiang, W Liu, Z Huang… - Proceedings of the …, 2023 - openaccess.thecvf.com
We study a challenging task, conditional human motion generation, which produces
plausible human motion sequences according to various conditional inputs, such as action …

Edge: Editable dance generation from music

J Tseng, R Castellon, K Liu - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Dance is an important human art form, but creating new dances can be difficult and time-
consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art …

Physdiff: Physics-guided human motion diffusion model

Y Yuan, J Song, U Iqbal, A Vahdat… - Proceedings of the …, 2023 - openaccess.thecvf.com
Denoising diffusion models hold great promise for generating diverse and realistic human
motions. However, existing motion diffusion models largely disregard the laws of physics in …