Introduces LoHi, a training-free, single-pass method that mixes dense low-resolution video streams with sparse high-resolution frames to improve long-video vision-language model accuracy under strict token budgets while cutting front-end decoding latency.
Generates 5-second text- or image-conditioned videos with synchronized 44 kHz audio (including lip-sync) and built-in super-resolution to 1920×1080; available in Lite (3B) and Pro (29B) variants with code and checkpoints released under an MIT license.