MaGGIe - CVPR'24
Collection
Collection of datasets and models for MaGGIe @ CVPR'24 • 4 items • Updated • 1
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("chuonghm/maggie-image-him50k-cvpr24", device_map="auto")Quick Links
MaGGIe: Mask Guided Gradual Human Instance Matting
[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.
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}
}
- Downloads last month
- 367
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="chuonghm/maggie-image-him50k-cvpr24")