OmniDirector: New AI Framework Enables Multi-Shot Camera Motion Cloning for Video Generation
Researchers have introduced OmniDirector, a unified AI framework that replicates camera motion from reference videos for multi-shot video generation without requiring cross-paired training data. The system encodes camera parameters as 'grid motion videos' and was trained on over one million camera grid-video pairs, enabling director-level control over characters, actions, and camera movement. The work addresses a key bottleneck in AI video generation by enabling complex, multi-shot camera motion cloning that existing parametric and data-synthesis approaches have struggled to achieve.
OmniDirector is a newly proposed framework for cloning camera motion from reference videos, targeting a significant limitation in current AI-driven video generation pipelines. Prior approaches either relied on parametric camera representations ill-suited to multi-shot scenarios or generated synthetic cross-paired training data, both of which produced poor results on complex camera trajectories. The team's core innovation is a general camera motion representation that encodes camera parameters visually as 'grid motion videos,' which can naturally accommodate diverse and composite trajectories across multiple shots. Built on top of multimodal diffusion transformers, OmniDirector was trained on a million-scale dataset of camera grid-video pairs and coordinates character motion, actions, and camera behavior simultaneously. The framework also incorporates a hierarchical prompt expansion agent that integrates different control signals by analyzing the relationships between camera motion descriptions and visual content. The authors report superior performance and controllability in extensive experiments, though the paper has not yet undergone formal peer review as a preprint submitted to arXiv on June 11, 2026.
What's missing
As a preprint, the paper has not yet been peer-reviewed. Key open questions include how OmniDirector performs on out-of-distribution camera styles, its computational cost at inference time, and whether the million-scale training dataset is publicly available.
What different sources said
- arXiv cs.AICenter
OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data
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