ReFM: Semantic-Aware Refinement Flow Model for Motion Retargeting

arXiv:2609.32068 · cs.CV, cs.AI, cs.GR · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.AI, cs.GR

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

Consistency — 20× in this paper · explained in 3 episodes
Transformer — 9× in this paper · explained in 2 episodes
Cosine Similarity — 8× in this paper · explained in 3 episodes
Fidelity — 7× in this paper · explained in 2 episodes
Semantic Similarity — 7× in this paper · explained in 2 episodes
Embeddings — 5× in this paper · explained in 2 episodes
Benchmark — 4× in this paper · explained in 2 episodes
ACM Transactions on Graphics — 3× in this paper
Ablation — 3× in this paper · explained in 1 episode
Adam — 2× in this paper · explained in 2 episodes
Adaptation — 2× in this paper · explained in 1 episode
Contrastive Learning — 2× in this paper · explained in 5 episodes
Generalization — 2× in this paper · explained in 13 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Temporal consistency — 2× in this paper · explained in 2 episodes
Ablation study — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Normalizing Flow — 1× in this paper · explained in 3 episodes
Normalizing Flows — 1× in this paper · explained in 4 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes

Sources

HuMoT: Human Motion Representation using Topology-Agnostic Transformers for Character Animation Retargeting

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