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Uncertainty DMD is proposed, a simple uncertainty-injection framework that restores stochasticity at two key stages of AR generation: a timestep perturbation for the first chunk to increase first-chunk diversity, and a stochastic cache-writing mechanism for later chunks to preserve uncertainty in autoregressive conditioning.
CineWeaver breaks the mold by enabling long-form, reference-controllable, and multi-shot video generation without the need for retraining, setting a new standard in cinematic storytelling.
Imagine turning any single-view video into a fully explorable, dynamic 4D scene – this paper gets us closer with a novel diffusion-based approach and a new large-scale dataset.
