Generative Cinematographer: Composing Camera and Object Motion in 3D

arXiv:2610.02180 · cs.CV, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Project page: https://generative-cinematographer.github.io/Abstract

Terminology

• Consistency — 14× in this paper · explained in 3 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• Diffusion Model — 7× in this paper · explained in 8 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• LoRA Adapters — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 3× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 3× in this paper
• Point Clouds — 3× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 1× in this paper
• In International Conference on Learning Representations — 1× in this paper
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction
• Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• WorldReel: 4D Video Generation with Consistent Geometry and Motion Modeling
• Motion Prompting: Controlling Video Generation with Motion Trajectories
• CameraCtrl: Enabling Camera Control for Text-to-Video Generation
• CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models
• ViPE: Video Pose Engine for 3D Geometric Perception
• CoWTracker: Tracking by Warping instead of Correlation
• Generative Video Motion Editing with 3D Point Tracks
• MoRight: Motion Control Done Right
• Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis
• Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation
• Wan: Open and Advanced Large-Scale Video Generative Models
• MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
• DragAnything: Motion Control for Anything using Entity Representation
• SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation
• VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control
• DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

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