TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models

Mark YU, Wenbo Hu, Jinbo Xing, Ying Shan

TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models: 21 upvotes on Hugging Face Daily Papers, #12 of 24 papers on 2025-03-10. Day-by-day upvote history.

We present TrajectoryCrafter, a novel approach to redirect camera trajectories for monocular videos. By disentangling deterministic view transformations from stochastic content generation, our method achieves precise control over user-specified camera trajectories. We propose a novel dual-stream conditional video diffusion model that concurrently integrates point cloud renders and source videos as conditions, ensuring accurate view transformations and coherent 4D content generation. Instead of leveraging scarce multi-view videos, we curate a hybrid training dataset combining web-scale monocular videos with static multi-view datasets, by our innovative double-reprojection strategy, significantly fostering robust generalization across diverse scenes. Extensive evaluations on multi-view and large-scale monocular videos demonstrate the superior performance of our method.

Paper page on Hugging Face · arXiv

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