Lightweight Image Matting via Efficient Non-local Guidance
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-26284-5_15
Reference54 articles.
1. Sengupta, S., Jayaram, V., Curless, B., Seitz, S.M., Kemelmacher-Shlizerman, I.: Background matting: the world is your green screen. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2291–2300 (2020)
2. Lin, S., Ryabtsev, A., Sengupta, S., Curless, B.L., Seitz, S.M., Kemelmacher-Shlizerman, I.: Real-time high-resolution background matting. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8762–8771 (2021)
3. Lin, S., Yang, L., Saleemi, I., Sengupta, S.: Robust high-resolution video matting with temporal guidance. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 238–247 (2022)
4. Chen, Y., Guan, J., Cham, W.K.: Robust multi-focus image fusion using edge model and multi-matting. IEEE Trans. Image Process. 27, 1526–1541 (2017)
5. Ke, Z., et al.: Is a green screen really necessary for real-time portrait matting? arXiv preprint arXiv:2011.11961 (2020)
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