uva-cv-lab/OmniShotCut

OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer

Authors: Boyang Wang, Guangyi Xu, Jiahui Zhang, Zhipeng Tang, Zezhou Cheng
Affiliation: UVA Computer Vision Lab

OmniShotCut is a sensitive and informative shot boundary detector. It detects shot changes across diverse sources (anime, vlog, game, shorts, sports, screen recording, etc.) and recognizes Sudden Jumps and Transitions (dissolve, fade, wipe, ...) with a Shot-Query-based Video Transformer.

Model Zoo

Usage

Install:

pip install git+https://github.com/UVA-Computer-Vision-Lab/OmniShotCut.git

Run shot boundary detection:

import omnishotcut

cut_model = omnishotcut.load("uva-cv-lab/OmniShotCut_v1.5", filename="OmniShotCut_ckpt.pth")
ranges = cut_model.inference("video.mp4", mode="clean_shot")

Citation

@article{wang2026omnishotcut,
  title={OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer},
  author={Wang, Boyang and Xu, Guangyi and Zhang, Jiahui and Tang, Zhipeng and Cheng, Zezhou},
  journal={arXiv preprint arXiv:2604.24762},
  year={2026}
}