Unsupervised 3D Human Pose Estimation

5 papers with code • 2 benchmarks • 2 datasets

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Most implemented papers

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

huawei-noah/noah-research 1 Aug 2022

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 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 17 Dec 2020

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 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).

Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior

boycehbz/chomp 12 Jul 2022

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.