Jing Lyu

Finally, a unified framework lets you control both facial appearance and voice timbre for personalized audio-video generation across multiple identities.

LLM agents can now leverage a unified memory framework that dynamically adapts to different question types, enabling more coherent and user-centric long-horizon dialogues.

Cycle consistency unlocks SOTA cross-view object correspondence in videos without ground-truth annotations, even enabling test-time training.