AAAI 2026technical0 citations

Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training

Ruicheng Zhang, Jun Zhou, Zunnan Xu, Zihao Liu, Jiehui Huang, Mingyang Zhang, Yu Sun, Xiu Li

Abstract

Trajectory-Guided image-to-video (I2V) generation aims to synthesize videos that adhere to user-specified motion instructions. Existing methods typically rely on computationally expensive fine-tuning on scarce annotated datasets. Although some zero-shot methods attempt to trajectory control in the latent space, they may yield unrealistic motion by neglecting 3D perspective and creating a misalignment between the manipulated latents and the network

BibTeX
@inproceedings{aaai2026_zo3tzeroshot3daw,
  title = {Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training},
  author = {Ruicheng Zhang and Jun Zhou and Zunnan Xu and Zihao Liu and Jiehui Huang and Mingyang Zhang and Yu Sun and Xiu Li},
  booktitle = {AAAI 2026},
  year = {2026}
}
Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training · AAAI 2026