| | --- |
| | license: apache-2.0 |
| | 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 |
| | --- |
| | <img src="maggie.png" alt="maggie" width="128"/> |
| |
|
| | # MaGGIe: Mask Guided Gradual Human Instance Matting |
| |
|
| | [[Project Page](https://maggie-matt.github.io/)] [[Code](https://github.com/hmchuong/MaGGIe)] |
| |
|
| | *Train datasets and Benchmarks 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/) |
