LongLive-Plug: Once-for-All Distillation for Video Generation

arXiv:2609.38154 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Distillation — 103× in this paper · explained in 2 episodes
• World Model — 18× in this paper · explained in 7 episodes
• Diffusion Model — 11× in this paper · explained in 8 episodes
• Diffusion Models — 10× in this paper · explained in 6 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Downstream Tasks — 7× in this paper · explained in 2 episodes
• Distribution Matching — 5× in this paper · explained in 2 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Generative Models — 5× in this paper · explained in 2 episodes
• alpha — 5× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Consistency Distillation — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• AI Agents — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Motus: A Unified Latent Action World Model
• BWM: A Low-Cost High-Fidelity World Simulator for Robot Learning
• H3-World: Turning Language Understanding into World Control
• HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
• Code World Model: Coding Agent as World Brain
• ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment
• From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting
• Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
• UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining
• FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction
• MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement
• Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner
• DreamX-World 1.0: A General-Purpose Interactive World Model
• VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
• LongVie 2: Multimodal Controllable Ultra-Long Video World Model
• DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
• LTX-Video: Realtime Video Latent Diffusion
• Classifier-Free Diffusion Guidance

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