Datasets:
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
Citation
If you find MaGGIe useful in your research, please cite the following paper:
@article{chuonghm_maggie,
author = {Chuong Huynh and Seoung Wug Oh and and Abhinav Shrivastava and Joon-Young Lee},
title = {MaGGIe: Masked Guided Gradual Human Instance Matting},
journal = {arXiv:2404.16035},
year = {2024}
}