OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation 事件

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation arXiv:2605.30519v1 Announce Type: new Abstract: Autoregressive (AR) video generation extends videos by producing latent chunks sequentially, but scaling to long videos requires repeated access to a growing historical KV cache. Existing methods reduce this cost by truncating the KV cache or compressing it into implicit memory, but both lose explicit access to query-relevant historical details. We propose OmniMem, an explic