Given an edit specified by users in an example image (e.g., dog pose), Our method can automatically transfer that edit to other test images (e.g., all dog same pose).
✏️ Edit One for All: Interactive Batch Image Editing (CVPR 2024)
By Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
🦡 University of Wisconsin-Madison
As users adjust the editing strength in the example image (top row), all test images will be automatically updated. (Red bounding boxes indicate the edit according to the drag points).
- Interactive Dog Pose:
- Interactive Anime Hair Length:
- Interactive Mountain Height:
- Interactive Human Pose:
- Interactive Face Slimming:
- Interactive Tiger Roar:
🚧 Under construction... (Im going to commit code around March...)
- Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold (SIGGRAPH 2023)
- Analyzing and Improving the Image Quality of StyleGAN (CVPR 2020)
- LARGE: Latent-Based Regression through GAN Semantics (CVPR 2022)
@inproceedings{nguyen2024edit,
title={Edit One for All: Interactive Batch Image Editing},
author={Thao Nguyen and Utkarsh Ojha and Yuheng Li and Haotian Liu and Yong Jae Lee},
year={2024},
eprint={2401.10219},
archivePrefix={arXiv},
primaryClass={cs.CV}
}