ShotVerse: Advancing Cinematic Camera Control for Text-Driven Multi-Shot Video Creation

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• Implicit textual prompts for camera control in text-driven video generation lack precision.limitation 90%
• Explicit trajectory conditioning for camera control imposes prohibitive manual overhead and often triggers execution failures in current models.limitation 90%
• Aligned (Caption, Trajectory, Video) triplets form an inherent joint distribution that can connect automated plotting and precise execution for camera control.technical 85%
• ShotVerse is a 'Plan-then-Control' framework that decouples generation into a VLM-based Planner and a Controller with a camera adapter.method 90%
• The authors constructed a high-fidelity cinematic dataset called ShotVerse-Bench with a three-track evaluation protocol.method 90%
• ShotVerse effectively bridges the gap between unreliable textual control and labor-intensive manual plotting for cinematic camera control.result 85%
• ShotVerse achieves superior cinematic aesthetics and generates multi-shot videos that are both camera-accurate and cross-shot consistent.result 85%

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