MaGGIe – Human Instance Image and Video Matting

MaGGIe: Mask Guided Gradual Human Instance Matting Project Page Code Train datasets and Benchmarks 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:… See the full description on the dataset page:

Source: Hugging Face Hub (chuonghm/MaGGIe-HIM). Metadata imported from the dataset’s Hub tags.