Stream Forcing constructs a curriculum training trajectory in a Logit-normal parameterized sampling space to reconcile training coverage with inference consistency for streaming video diffusion, reporting FVD improvements.
nuscenes: A multi- modal dataset for autonomous driving
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Stream Forcing: Constructing Unified Training Trajectory for Robust Streaming Video Generation
Stream Forcing constructs a curriculum training trajectory in a Logit-normal parameterized sampling space to reconcile training coverage with inference consistency for streaming video diffusion, reporting FVD improvements.