| title | MoviEdit: Long-form Multi-Shot Video Editing Made Easy |
|---|---|
| authors | Suhyeon Lee, Zhengang Li, Soo Ye Kim, Peihao Zhu, Jong Chul Ye, Chun-Hao Paul Huang, Duygu Ceylan, Yan Kang, Hyeonho Jeong |
| date | 2026-11-02 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2611.02737 |
| affiliation | Adobe |
| upvotes | 63 (Hugging Face Daily Papers, 2026-11-05) |
| links | abs pdf hf code |
| cite | |
| abstract | Long-form multi-shot video editing requires an intended edit to remain coherent across abrupt changes in scene, viewpoint, and subject appearance, while processing substantially longer visual context than conventional single-shot editors. We introduce MoviEdit, an end-to-end framework for scalable long-form multi-shot video editing that jointly addresses the challenges of data, modeling, and evaluation. To provide cross-shot supervision data at scale, we develop automatic data-generation pipelines spanning synchronized multi-view footage, real-world multi-shot videos, and generated multi-shot content, yielding 87K paired editing videos without manual annotation. Architecturally, MoviEdit employs a cascaded bidirectional-autoregressive design: a lightweight bidirectional stage first establishes a globally coherent editing draft over a spatiotemporally compressed representation, which is then autoregressively propagated and refined over the full video. We further introduce MoviEdit-Bench, a dedicated benchmark for systematic evaluation of long-form multi-shot video editing. Extensive experiments show that MoviEdit substantially outperforms existing open-source models and performs on par with industry frontier models across text-guided and image-guided editing. Visit our project page for complete results and to access the benchmark: https://multi-shot-edit.github.io/ |
bibtex
@misc{lee2026moviedit,
title={MoviEdit: Long-form Multi-Shot Video Editing Made Easy},
author={Suhyeon Lee and Zhengang Li and Soo Ye Kim and Peihao Zhu and Jong Chul Ye and Chun-Hao Paul Huang and Duygu Ceylan and Yan Kang and Hyeonho Jeong},
year={2026},
eprint={2611.02737},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2611.02737}
}