A global sampling method for alpha matting

By Kaiming He, Christoph Rhemann, Carsten Rother, Xiaoou Tang. Computer Vision and Pattern Recognition, 2011

345 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/49d4cde19218e8d9f5f5f2ee55eb8f6fa06c18ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Yong-Lu Li
2. Haoshu Fang
3. Cewu Lu
4. Jianhua Sun
5. Minghao Gou
6. Runzhong Wang
7. Ekin Dogus Cubuk
8. Yi Yang

Citations in the corpus

• KNN Matting (2013, neutral): “, use of randomized patchmatch in [9], ray shooting in [6], PSF estimation in [19]), resulting in more parameter setting or requiring more careful markups/ trimaps.”
• InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting (2019, background): “To overcome such issue, matting [24] is adopted to get a smoother outline with the alpha channel, which is much more similar to the actual situation.”