Video generation

A video generation model takes a text description, a still image, or both, and produces a sequence of frames that match it. The core problem is temporal coherence: each frame must follow plausibly from the last, objects must persist, and motion must be physically believable — constraints that don't exist for single images. Current systems extend diffusion or autoregressive approaches to the time axis. The hard part is that errors compound: a small geometry mistake in frame two drifts into an incoherent scene by frame twenty.