FrameFold: Response-Guided KV Cache Consolidation for Autoregressive Long Video Generation
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- Echo-Infinity: Learning Evolving Memory for Real-Time Infinite Video Generation
- Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
- SkyReels-V2: Infinite-length Film Generative Model
- Past- and Future-Informed KV Cache Policy with Salience Estimation in Autoregressive Video Diffusion
- Infinite Worlds with Versatile Interactions
- Efficient Autoregressive Video Diffusion with Dummy Head
- LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation
- Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models
- Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion
- FadeMem: Distance-Aware Memory Consolidation for Autoregressive Video Diffusion
- Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation
- Yume-1.5: A Text-Controlled Interactive World Generation Model
- TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted Alignment
- Movie Gen: A Cast of Media Foundation Models
- MAGI-1: Autoregressive Video Generation at Scale
- Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
- Memorize-and-Generate: Towards Long-Term Consistency in Real-Time Video Generation
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