Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models

arXiv:2609.37297 · cs.CV, cs.RO · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-29

Updated: 2026-09-29

Project page: https://cross-skeleton-retargeting.netlify.app

Terminology

• AUC — 49× in this paper · explained in 2 episodes
• Fidelity — 16× in this paper · explained in 2 episodes
• Source-Instance Fidelity — 15× in this paper
• Alignment — 11× in this paper · explained in 1 episode
• Latent Space — 8× in this paper · explained in 7 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Calibration — 6× in this paper · explained in 7 episodes
• Degeneracy — 6× in this paper · explained in 3 episodes
• Core — 5× in this paper · explained in 2 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Sparsity — 4× in this paper · explained in 4 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Action Groups — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Latent Representation — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Distribution Matching — 2× in this paper · explained in 2 episodes
• Institutional Review Board — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking
• Topology-Agnostic Animal Motion Generation from Text Prompt
• MoReFlow: Motion Retargeting Learning through Unsupervised Flow Matching

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models