13 citations · 46 across the 9 of their papers we have counts for
9 papers
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting
Hongwei Zheng, Han Li, Bowen Shi +5
Recent 2D-to-3D human pose estimation (HPE) utilizes temporal consistency across sequences to alleviate the depth ambiguity problem but ignore the action related prior knowledge hi…
TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
Yu Sun, Qian Bao, Wu Liu +2
Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current methods still cannot reliably estimate moving humans in global coordinates, which is critic…
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
Han Li, Bowen Shi, Wenrui Dai +7
There has been a recent surge of interest in introducing transformers to 3D human pose estimation (HPE) due to their powerful capabilities in modeling long-term dependencies. Howev…
Putting People in their Place: Monocular Regression of 3D People in Depth
Yu Sun, Wu Liu, Qian Bao +3
Given an image with multiple people, our goal is to directly regress the pose and shape of all the people as well as their relative depth. Inferring the depth of a person in an ima…
Hierarchical Graph Networks for 3D Human Pose Estimation
Han Li, Bowen Shi, Wenrui Dai +7
Recent 2D-to-3D human pose estimation works tend to utilize the graph structure formed by the topology of the human skeleton. However, we argue that this skeletal topology is too s…
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
Wu Liu, Qian Bao, Yu Sun +1
Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. Recently, benefited from the deep…
Synthetic Training for Monocular Human Mesh Recovery
Yu Sun, Qian Bao, Wu Liu +4
Recovering 3D human mesh from monocular images is a popular topic in computer vision and has a wide range of applications. This paper aims to estimate 3D mesh of multiple body part…
Monocular, One-stage, Regression of Multiple 3D People
Yu Sun, Qian Bao, Wu Liu +3
This paper focuses on the regression of multiple 3D people from a single RGB image. Existing approaches predominantly follow a multi-stage pipeline that first detects people in bou…
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
Sun Yu, Ye Yun, Liu Wu +3
We describe an end-to-end method for recovering 3D human body mesh from single images and monocular videos. Different from the existing methods try to obtain all the complex 3D pos…