metadata

license: cc-by-nc-4.0
task_categories:
  - image-segmentation
tags:
  - matting
  - instance matting
  - image matting
  - video matting
  - guidance matting
  - human matting
pretty_name: MaGGIe - Human Instance Image and Video Matting

MaGGIe: Mask Guided Gradual Human Instance Matting

[Project Page] [Code]

Train datasets and Benchmarks for Instance-awareness alpha human matting with binary mask guidance for images and video

Accepted at CVPR 2024

Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee

Work is a part of Summer Internship 2023 at Adobe Research

Please refer to our paper for details.

Citation

If you find MaGGIe useful in your research, please cite the following paper:

@inproceedings{huynh2024maggie,
  title={Maggie: Masked guided gradual human instance matting},
  author={Huynh, Chuong and Oh, Seoung Wug and Shrivastava, Abhinav and Lee, Joon-Young},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3870--3879},
  year={2024}
}