AI RESEARCH
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
arXiv CS.CV
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ArXi:2606.01900v1 Announce Type: new Generative video models have achieved remarkable visual fidelity and temporal coherence, yet intentional camera control remains elusive. Existing frameworks treat camera motion as a byproduct of pixel synthesis, producing trajectories that are stochastic, spatially inconsistent, and indifferent to the human subject driving the scene. In this work, we present Auteur, a method for language-driven, human-centric camera framing in generative video.