Retargeting Motions to Diverse Skeletons via Learnable Flattening

arXiv:2609.38578 · cs.CV, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-29

Updated: 2026-10-01

Project page: https://anytop2025.github.io/Anytop-page

Terminology

• Transformer — 28× in this paper · explained in 2 episodes
• Latent Space — 19× in this paper · explained in 7 episodes
• Consistency — 15× in this paper · explained in 3 episodes
• Root Trajectory — 14× in this paper
• Joint Position — 13× in this paper
• Ablation — 9× in this paper · explained in 1 episode
• ACM Transactions on Graphics — 8× in this paper
• Generalization — 8× in this paper · explained in 13 episodes
• Foot Sliding — 7× in this paper
• Ground Penetration — 7× in this paper
• Loss Function — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Joint Rotation — 5× in this paper
• Generative AI — 4× in this paper · explained in 2 episodes
• Latent Representation — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 3× in this paper
• Representation Learning — 3× in this paper · explained in 2 episodes
• Transformer Architecture — 3× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 3× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Global Joint Position — 2× in this paper
• Latent Representations — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Learning Variational Motion Prior for Video-based Motion Capture
• PALUM: Part-based Attention Learning for Unified Motion Retargeting
• Single Motion Diffusion
• Human Motion Diffusion Model

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