Motion Concept Unlearning in Video Diffusion Models

arXiv:2609.36832 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Diffusion Model — 42× in this paper · explained in 8 episodes
• Diffusion Models — 40× in this paper · explained in 6 episodes
• Transformer — 14× in this paper · explained in 2 episodes
• Fidelity — 8× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Joint Attention — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Rectified Flow — 3× in this paper · explained in 3 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Entanglement — 2× in this paper · explained in 3 episodes
• Machine Unlearning — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Safety — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 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
• Loss Function — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Erased or Dormant? Rethinking Concept Erasure Through Reversibility
• Rectified Flow: A Marginal Preserving Approach to Optimal Transport
• Unlearning Concepts from Text-to-Video Diffusion Models
• ConceptGuard: Proactive Safety in Text-and-Image-to-Video Generation through Multimodal Risk Detection
• Wan: Open and Advanced Large-Scale Video Generative Models
• Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
• PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion Models
• CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
• T2VUnlearning: A Concept Erasing Method for Text-to-Video Diffusion Models

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