|
--- |
|
tags: |
|
- pytorch_model_hub_mixin |
|
- model_hub_mixin |
|
datasets: |
|
- chuonghm/MaGGIe-HIM |
|
metrics: |
|
- mse |
|
- sad |
|
- mad |
|
- conn |
|
- grad |
|
pipeline_tag: video-matting |
|
--- |
|
|
|
# MaGGIe: Mask Guided Gradual Human Instance Matting |
|
|
|
[[Project Page](https://maggie-matt.github.io/)] [[Code](https://github.com/hmchuong/MaGGIe)] |
|
|
|
*Weights for Instance-awareness alpha human matting with binary mask guidance for images and video* |
|
|
|
**Accepted at CVPR 2024** |
|
|
|
**[Chuong Huynh](https://hmchuong.github.io/), [Seoung Wug Oh](https://sites.google.com/view/seoungwugoh/), [Abhinav Shrivastava](https://www.cs.umd.edu/~abhinav/), [Joon-Young Lee](https://joonyoung-cv.github.io/)** |
|
|
|
Work is a part of Summer Internship 2023 at [Adobe Research](https://research.adobe.com/) |
