Unsupervised 3D Human Pose Estimation
7 papers with code • 2 benchmarks • 2 datasets
Human3.6M
MPI-INF-3DHP
Most implemented papers
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem.
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
revanurambareesh/multiperson
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ECCV 2020
Our approach not only generalizes to in-the-wild images, but also yields a superior trade-off between speed and performance, compared to prior top-down approaches.
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
sjtuxcx/ITES
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To handle the decomposition ambiguity in the teacher network, we propose a cycle-consistent architecture promoting a 3D rotation-invariant property to train the teacher network.
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
garfield-kh/posetriplet
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ICCV 2021
Dance experts often view dance as a hierarchy of information, spanning low-level (raw images, image sequences), mid-levels (human poses and bodypart movements), and high-level (dance genre).
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
bastianwandt/elepose
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CVPR 2022
Human pose estimation from single images is a challenging problem that is typically solved by supervised learning.
Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
boycehbz/chomp
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To address the obstacles, our key-idea is to employ non-occluded human data to learn a joint-level spatial-temporal motion prior for occluded human with a self-supervised strategy.
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
Automatic estimation of 3D human pose from monocular RGB images is a challenging and unsolved problem in computer vision.
