3D Absolute Human Pose Estimation
9 papers with code • 3 benchmarks • 6 datasets
This task aims to solve absolute (camera-centric not root-relative) 3D human pose estimation.
( Image credit: RootNet )
Human3.6M
TotalCapture
HPS
Relative Human
SportsPose
InfiniteRep
Latest papers with no code
Understanding Diffusion Models: A Unified Perspective
Diffusion models have shown incredible capabilities as generative models; indeed, they power the current state-of-the-art models on text-conditioned image generation such as Imagen and DALL-E 2.
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation
Our framework leverages the best of non-parametric and model-based methods and is also robust to partial occlusion.
$A^2$-Nets: Double Attention Networks
Learning to capture long-range relations is fundamental to image/video recognition.
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation.
