arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral
EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion
Publisher summary· verbatim
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. We introduce Equi
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment4harxivQuery-Focused Event Summarization: A Dataset and Benchmark4harxivFedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift4harxivSafe responses matter: Output-aware safety guardrail mitigate over-refusal in MLLMs4hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗