Official Gradio demo for ObjectClear: Complete Object Removal via Object-Effect Attention.
๐ฅ ObjectClear is an object removal model that can jointly eliminate the target object and its associated effects leveraging Object-Effect Attention, while preserving background consistency.
๐ผ๏ธ Try to drop your image, assign the target masks with a few clicks, and get the object removal results!
Note: All input images are temporarily resized (shorter side = 512 pixels) during inference to match the training resolution. Final outputs are restored to the original resolution.
Examples
If ObjectClear is helpful, please help to star the Github Repo. Thanks!
๐ Citation
If our work is useful for your research, please consider citing:
@InProceedings{zhao2025ObjectClear,
title = {{ObjectClear}: Complete Object Removal via Object-Effect Attention},
author = {Zhao, Jixin and Zhou, Shangchen and Wang, Zhouxia and Yang, Peiqing and Loy, Chen Change},
booktitle = {arXiv preprint arXiv:2505.22636},
year = {2025}
}
๐ง Contact
If you have any questions, please feel free to reach me out at jixinzhao0101@gmail.com.
๐ Acknowledgement
This demo is adapted from MatAnyone, and leveraging segmentation capabilities from Segment Anything. Thanks for their awesome works!