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Achieve significantly more realistic and lip-synced movie dubbing by modeling the cognitive processes of professional actors with a novel diffusion transformer architecture.
Diffusion models can now generate high-fidelity virtual contrast-enhanced CT scans from non-contrast scans, potentially reducing the need for invasive contrast agents and radiation exposure.
Control both multi-subject identity and multi-granularity motion in video generation with DreamVideo-Omni, a framework that uses latent identity reinforcement learning to avoid identity degradation.
