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 …
A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
End-to-end human pose and mesh reconstruction with transformers
We present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human
pose and mesh vertices from a single image. Our method uses a transformer encoder to …
pose and mesh vertices from a single image. Our method uses a transformer encoder to …
Ai choreographer: Music conditioned 3d dance generation with aist++
We present AIST++, a new multi-modal dataset of 3D dance motion and music, along with
FACT, a Full-Attention Cross-modal Transformer network for generating 3D dance motion …
FACT, a Full-Attention Cross-modal Transformer network for generating 3D dance motion …
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 …
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 …
Star: Sparse trained articulated human body regressor
The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D
human pose and shape. While popular, we show that SMPL has several limitations and …
human pose and shape. While popular, we show that SMPL has several limitations and …
Intergen: Diffusion-based multi-human motion generation under complex interactions
We have recently seen tremendous progress in diffusion advances for generating realistic
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …
Avatarposer: Articulated full-body pose tracking from sparse motion sensing
Abstract Today's Mixed Reality head-mounted displays track the user's head pose in world
space as well as the user's hands for interaction in both Augmented Reality and Virtual …
space as well as the user's hands for interaction in both Augmented Reality and Virtual …
MIME: Human-aware 3D scene generation
H Yi, CHP Huang, S Tripathi, L Hering… - Proceedings of the …, 2023 - openaccess.thecvf.com
Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …
games, architecture, and synthetic data creation. But generating such scenes is expensive …