Memory Forcing: Attendable Mid-Horizon History for Streaming Video Generation

arXiv:2610.11756 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Diffusion Model — 9× in this paper · explained in 8 episodes
• Diffusion Models — 8× in this paper · explained in 6 episodes
• Distillation — 7× in this paper · explained in 2 episodes
• KV cache — 6× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Distribution Matching — 4× in this paper · explained in 2 episodes
• Distribution Matching Distillation — 4× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Diffusion Forcing — 3× in this paper
• Generative AI — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Exposure Bias — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Teacher Forcing — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Embeddings — 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
• GRPO — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Iterative Refinement — 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
• Quantization — 1× in this paper · explained in 12 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
• 3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation
• Efficient Autoregressive Video Diffusion with Dummy Head
• Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models
• MemRoPE: Training-Free Infinite Video Generation via Evolving Memory Tokens
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion
• Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
• Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
• Controllable Video Generation: A Survey
• Movie Gen: A Cast of Media Foundation Models
• Generalization in Generation: A closer look at Exposure Bias
• SkyReels-V2: Infinite-length Film Generative Model
• Wan: Open and Advanced Large-Scale Video Generative Models
• SubjectAnchor: Subject-Aware Memory-to-Video for Multi-Shot Storytelling
• LongLive: Real-time Interactive Long Video Generation
• Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion
• Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout
• Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression

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