SuperMotion: Source-Preserving Denoising for Text-Driven Human Motion Editing

arXiv:2610.01517 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Diffusion Model — 7× in this paper · explained in 8 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Anchor Loss — 3× in this paper · explained in 1 episode
• Latent Space — 3× in this paper · explained in 7 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• DiffEdit: Diffusion-based semantic image editing with mask guidance
• Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing
• Classifier-Free Diffusion Guidance
• Progressive Distillation for Fast Sampling of Diffusion Models
• Omni-Supervised Motion Editing: Balancing Change and Invariance through Positive-Negative Learning
• Human Motion Diffusion Model
• PartMotionEdit: Fine-Grained Text-Driven 3D Human Motion Editing via Part-Level Modulation

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