arXiv Computer Vision

On the Role of Rotation Equivariance in Monocular 2D-to-3D Human Pose Lifting

arXiv AI
Jul 14

EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion

arXiv:2607. 10984v1 Announce Type: cross Abstract: Existing Stochastic 3D Human Motion Prediction models are fundamentally constrained by hard-coding the skeleton kinematics, severely limiting generalization, preventing cross-dataset training, and requiring complex data retargeting.

By Cecilia Curreli, Florian Hofherr, Dominik Muhle, Abhishek Saroha, Riccardo Marin, Daniel Cremers
arXiv Machine Learning
Jul 14

Neural Human Pose Prior

arXiv:2507. 12138v2 Announce Type: replace-cross Abstract: We introduce a principled, data-driven approach for modeling a neural prior over human body poses using normalizing flows.

By Michal Heker, Sefy Kagarlitsky, David Tolpin