English

Place Anything into Any Video

Computer Vision and Pattern Recognition 2024-02-23 v1

Abstract

Controllable video editing has demonstrated remarkable potential across diverse applications, particularly in scenarios where capturing or re-capturing real-world videos is either impractical or costly. This paper introduces a novel and efficient system named Place-Anything, which facilitates the insertion of any object into any video solely based on a picture or text description of the target object or element. The system comprises three modules: 3D generation, video reconstruction, and 3D target insertion. This integrated approach offers an efficient and effective solution for producing and editing high-quality videos by seamlessly inserting realistic objects. Through a user study, we demonstrate that our system can effortlessly place any object into any video using just a photograph of the object. Our demo video can be found at https://youtu.be/afXqgLLRnTE. Please also visit our project page https://place-anything.github.io to get access.

Cite

@article{arxiv.2402.14316,
  title  = {Place Anything into Any Video},
  author = {Ziling Liu and Jinyu Yang and Mingqi Gao and Feng Zheng},
  journal= {arXiv preprint arXiv:2402.14316},
  year   = {2024}
}
R2 v1 2026-06-28T14:56:42.913Z