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Automatic image matting and fusing for portrait synthesis

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References

  1. Liu J, Yao Y, Hou W, et al. Boosting semantic human matting with coarse annotations. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. 8563–8572

  2. Gastal E S L, Oliveira M M. Shared sampling for real-time alpha matting. Comput Graphics Forum, 2010, 29: 575–584

    Article  Google Scholar 

  3. He K, Rhemann C, Rother C, et al. A global sampling method for alpha matting. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

  4. Xu N, Price B, Cohen S, et al. Deep image matting. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 311–320

  5. Zhang K, Zhang Z, Li Z, et al. Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process Lett, 2016, 23: 1499–1503

    Article  Google Scholar 

  6. Everingham M, van Gool L, Williams C K I, et al. The pascal visual object classes (VOC) challenge. Int J Comput Vis, 2010, 88: 303–338

    Article  Google Scholar 

  7. Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. 2014. ArXiv:1409.1556

  8. Lin T Y, Maire M, Belongie S, et al. Microsoft COCO: common objects in context. In: Proceedings of European Conference on Computer Vision. Cham: Springer, 2014. 740–755

    Google Scholar 

  9. Rhemann C, Rother C, Wang J, et al. A perceptually motivated online benchmark for image matting. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

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Acknowledgements

This work was supported in part by National Key R&D Program of China (Grant No. 2018YFB1700603), National Natural Science Foundation of China (Grant Nos. 61672077, 61532002), and Beijing Natural Science Foundation-Haidian Primitive Innovation Joint Fund (Grant No. L182016).

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Correspondence to Shuai Li.

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Automatic Image Matting and Fusing for Portrait Synthesis

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Yi, Z., Song, W., Li, S. et al. Automatic image matting and fusing for portrait synthesis. Sci. China Inf. Sci. 65, 124101 (2022). https://doi.org/10.1007/s11432-021-3279-y

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  • DOI: https://doi.org/10.1007/s11432-021-3279-y

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