DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders

Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos. We show that current 3D HPE methods suffer a lack of viewpoint equivariance, namely they tend to fail or perform poorly when dealing with viewpoints unseen at training time.

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Cite this as

Nicola Garau, Niccol`o Bisagno, Piotr Br´odka, Nicola Conci (2024). Dataset: DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders. https://doi.org/10.57702/62o42v93

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2108.08557
Author Nicola Garau
More Authors
Niccol`o Bisagno
Piotr Br´odka
Nicola Conci
Homepage https://github.com/mmlab-cv/DECA