Memory Forcing: Attendable Mid-Horizon History for Streaming Video Generation
Memory Forcing is a streaming method that solves mid-horizon forgetting in video generation by partitioning the KV cache into sink, archive, and working regions. It retains diverse intermediate events alongside recent motion, using Bank-aware RoPE to keep temporal indices correct. This approach allows models to handle longer clips while maintaining physical plausibility and realism.