TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos
  via Diffusion Models
Authors: name: Mark YU, name: Wenbo Hu, name: Jinbo Xing, name: Ying Shan

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.