AI RESEARCH
EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation
arXiv CS.CV
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ArXi:2602.13669v3 Announce Type: replace Recent multi-modal video generation models have achieved high visual quality, but their prohibitive latency and limited temporal stability hinder real-time deployment. Streaming inference exacerbates these issues, leading to pronounced multimodal degradation, such as spatial blurring, temporal drift, and lip desynchronization, which creates an unresolved efficiency-performance trade-off. To this end, we propose EchoTorrent, a novel schema with a fourfold design: (1) Multi-Teacher.