Skeletons in Flow: Graph Structured Flow Matching for Human Motion Prediction

arXiv:2609.32231 · cs.CV, cs.RO · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Flow Matching — 23× in this paper · explained in 8 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Ablation — 9× in this paper · explained in 1 episode
• Graph Structured Flow Matching — 7× in this paper
• Transformer — 6× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 6× in this paper · explained in 4 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Physical Constraints — 3× in this paper · explained in 7 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Angular Error — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion
• Motion Flow Matching for Human Motion Synthesis and Editing
• Flow Matching for Generative Modeling
• CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
• Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching
• Improving and generalizing flow-based generative models with minibatch optimal transport

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