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--- |
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license: apache-2.0 |
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task_categories: |
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- image-segmentation |
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tags: |
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- matting |
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- instance matting |
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- image matting |
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- video matting |
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- guidance matting |
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- human matting |
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pretty_name: MaGGIe - Human Instance Image and Video Matting |
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--- |
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<img src="maggie.png" alt="maggie" width="128"/> |
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# MaGGIe: Mask Guided Gradual Human Instance Matting |
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[[Project Page](https://maggie-matt.github.io/)] [[Code](https://github.com/hmchuong/MaGGIe)] |
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*Train datasets and Benchmarks for Instance-awareness alpha human matting with binary mask guidance for images and video* |
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**Accepted at CVPR 2024** |
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**[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/)** |
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Work is a part of Summer Internship 2023 at [Adobe Research](https://research.adobe.com/) |
