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 …
[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 …
4d gaussian splatting for real-time dynamic scene rendering
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 …
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Motiondiffuse: Text-driven human motion generation with diffusion model
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 …
require professional skills. In order to remove the skill barriers for laymen, recent motion …
Hexplane: A fast representation for dynamic scenes
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 …
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
Generating diverse and natural 3d human motions from text
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 …
generated motions are expected to be sufficiently diverse to explore the text-grounded …
Generating human motion from textual descriptions with discrete representations
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 …
based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained …
Executing your commands via motion diffusion in latent space
We study a challenging task, conditional human motion generation, which produces
plausible human motion sequences according to various conditional inputs, such as action …
plausible human motion sequences according to various conditional inputs, such as action …
Edge: Editable dance generation from music
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 …
consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art …
Physdiff: Physics-guided human motion diffusion model
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 …
motions. However, existing motion diffusion models largely disregard the laws of physics in …