Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
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. Our core insight is that professional filmmakers conceive shots not as world-space trajectories but as framings defined relative to the actor, encoding shot size, angle, and composition as functions of human pose and motion. We formalize this intui...
| Authors | Muhammed Burak Kizil, Enes Sanli, Niloy J. Mitra et al. |
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| Primary category | cs.CV |
| Published | 1 June 2026 |
| Last updated at source | 24 September 2026 |
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