1. Image Matting综述
2. Image Matting经典算法
2017
- DIM：Deep Image Matting [1]
2018
- AlphaGAN [2]
2019
- SampleNet [3]
- Context-Aware [4]
- IndexNet [5]
2020
- HAttMatting [6]
参考博客：CVPR2020 | HAttMatting，让抠图变得如此简单！ - background matting [7]
创新点：以去除前景的背景图片代替trimap
参考博客： 2020 CVPR之image matting：Background Matting：The World is Your Green Screen - MODNet [8]
创新点：无需trimap
参考博客：MODNet
【参考文献】：
[1] Ning Xu, Brian Price, Scott Cohen and Thomas Huang. “Deep Image Matting.” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[2] S. Lutz, K. Amplianitis, and A. Smolic. “AlphaGAN: Generative Adversarial Networks for Natural Image Matting.” The British Machine Vision Conference (BMVC), 2018.
[3] Jingwei Tang, Yagiz Aksoy, Cengiz Oztireli, Markus Gross, and Tunc Ozan Aydin. Learning-based sampling for natural image matting. In CVPR, 2019.
[4] Qiqi Hou and Feng Liu. Context-aware image matting for simultaneous foreground and alpha estimation. In ICCV, 2019.
[5] Hao Lu, Yutong Dai, Chunhua Shen, and Songcen Xu. Indices matter: Learning to index for deep image matting. In ICCV, 2019.
[6] Yu Qiao, Yuhao Liu, Xin Yang, Dongsheng Zhou, Mingliang Xu, Qiang Zhang, and Xiaopeng Wei1. Attention-guided hierarchical structure aggregation for image matting. In CVPR, 2020.
[7] Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steve Seitz, and Ira Kemelmacher-Shlizerman. Background matting: The world is your green screen. In CVPR, 2020.
[8] Ke Z , Li K , Zhou Y , et al. Is a Green Screen Really Necessary for Real-Time Portrait Matting?[J]. 2020.
3. Image Matting工程实现
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