chuonghm/MaGGIe-HIM
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How to use chuonghm/maggie-video-vim2k5-cvpr24 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-segmentation", model="chuonghm/maggie-video-vim2k5-cvpr24") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("chuonghm/maggie-video-vim2k5-cvpr24", dtype="auto")[Project Page] [Code]
Weights 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.
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}
}