Self-Aligned Forcing: Streaming Video Diffusion with Differentiable Noisy History

arXiv:2609.38114 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Project page: https://anonymous.4open.science/w/self-aligned-forcing

Terminology

• Consistency — 26× in this paper · explained in 3 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Distillation — 11× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Alignment — 6× in this paper · explained in 1 episode
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Distribution Matching — 4× in this paper · explained in 2 episodes
• Self-Aligned Forcing — 4× in this paper
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Self Gradient Forcing — 3× in this paper
• Self-Diffusion Forcing — 3× in this paper
• Exposure Bias — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Signal-to-noise ratio (SNR) — 2× in this paper · explained in 2 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Credit assignment — 1× in this paper · explained in 3 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• Matrix-game 2.0: An open-source, real-time, and streaming interactive world model
• Classifier-Free Diffusion Guidance
• MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives
• Movie Gen: A Cast of Media Foundation Models
• Sequence Level Training with Recurrent Neural Networks
• MAGI-1: Autoregressive Video Generation at Scale
• Wan: Open and Advanced Large-Scale Video Generative Models
• Video-Mirai: Autoregressive Video Diffusion Models Need Foresight
• UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation
• Self Gradient Forcing: Native Long Video Extrapolation

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