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Existing portrait matting methods either require auxiliary inputs that are costly to obtain or involve multiple stages that are computationally expensive, making them less suitable for real-time applications.
Alpha estimation in natural images
Ruzon, M. A.; and Tomasi, C. 2000 · 2000
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A bayesian approach to digital matting
Chuang, Y.-Y.; Curless, B.; Salesin, D. H.; and Szeliski, R. 2001 · 2001
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A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Schmarje, L.; Santarossa, M.; Schröder, S.-M.; and Koch, R. 2020 · 2002
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Poisson matting
Sun, J.; Jia, J.; Tang, C.-K.; and Shum, H.-Y. 2004 · 2004
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Random walks for interactive alpha-matting
Grady, L.; Schiwietz, T.; Aharon, S.; and Westermann, R. 2005 · 2005
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A geodesic framework for fast interactive image and video segmentation and matting
Bai, X.; and Sapiro, G. 2007 · 2007
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A closed-form solution to natural image matting
Levin, A.; Lischinski, D.; and Weiss, Y. 2007 · 2007
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Spectral matting
Levin, A.; Rav-Acha, A.; and Lischinski, D. 2008 · 2008
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Shared sampling for real-time alpha matting
Gastal, E. S. L.; and Oliveira, M. M. 2010 · 2010
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Lock-in Time-of-Flight (ToF) cameras: A survey
Foix, S.; Alenyà, G.; and Torras, C. 2011 · 2011
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A global sampling method for alpha matting
He, K.; Rhaemann, C.; Rother, C.; Tang, X.; and Sun, J. 2011 · 2011
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KNN Matting
Chen, Q.; Li, D.; and Tang, C.-K. 2013 · 2013
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Image matting with kl-divergence based sparse sampling
Karacan, L.; Erdem, A.; and Erdem, E. 2015 · 2015
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Natural image matting using deep convolutional neural networks
Cho, D.; Tai, Y.-W.; and Kweon, I. 2016 · 2016
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A cluster sampling method for image matting via sparse coding
Feng, X.; Liang, X.; and Zhang, Z. 2016 · 2016
Cited alongside, same era.
Sparse coding for alpha matting
Johnson, J.; Varnousfaderani, E. S.; Cholakkal, H.; and Rajan, D. 2016 · 2016
Cited alongside, same era.
Deep automatic portrait matting
Shen, X.; Tao, X.; Gao, H.; Zhou, C.; and Jia, J. 2016 · 2016
Cited alongside, same era.
Return of Frustratingly Easy Domain Adaptation
Sun, B.; Feng, J.; and Saenko, K. 2016 · 2016
Cited alongside, same era.
Designing effective inter-pixel information flow for natural image matting
Aksoy, Y.; Aydin, T. O.; and Pollefeys, M. 2017 · 2017
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Chen, L.-C.; Papandreou, G.; Kokkinos, I.; Murphy, K.; and Yuille, A. L. 2017 · 2017
Disentangled Image Matting
Cai, S.; Zhang, X.; Fan, H.; Huang, H.; Liu, J.; Liu, J.; Liu, J.; Wang, J.; and Sun, J. 2019 · 2019
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Context-aware Image Matting for Simultaneous Foreground and Alpha Estimation
Hou, Q.; and Liu, F. 2019 · 2019
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Indices Matter: Learning to Index for Deep Image Matting
Lu, H.; Dai, Y.; Shen, C.; and Xu, S. 2019 · 2019
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Learning-based Sampling for Natural Image Matting
Tang, J.; Aksoy, Y.; Oztireli, C.; Gross, M.; and Aydin, T. O. 2019 · 2019
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A late fusion cnn for digital matting
Zhang, Y.; Gong, L.; Fan, L.; Ren, P.; Huang, Q.; Bao, H.; and Xu, W. 2019 · 2019
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Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Ke, Z.; Qiu, D.; Li, K.; Yan, Q.; and Lau, R. W. 2020 · 2020
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Cited alongside, same era.
Deep Image Matting
Xu, N.; Price, B.; Cohen, S.; and Huang, T. 2017 · 2017
Cited alongside, same era.
Fast Deep Matting for Portrait Animation on Mobile Phone
Zhu, B.; Chen, Y.; Wang, J.; Liu, S.; Zhang, B.; and Tang, M. 2017 · 2017
Cited alongside, same era.
Semantic soft segmentation
Aksoy, Y.; Oh, T.-H.; Paris, S.; Pollefeys, M.; and Matusik, W. 2018 · 2018
Cited alongside, same era.
Semantic human matting
Chen, Q.; Ge, T.; Xu, Y.; Zhang, Z.; Yang, X.; and Gai, K. 2018 · 2018
Cited alongside, same era.
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
Kuznetsova, A.; Rom, H.; Alldrin, N.; Uijlings, J. R. R.; Krasin, I.; Pont-Tuset, J.; Kamali, S.; Popov, S.; Malloci, M.; Duerig, T.; and Ferrari, V. 2018 · 2018
Cited alongside, same era.
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Sandler, M.; Howard, A.; Zhu, M.; Zhmoginov, A.; and Chen, L.-C. 2018 · 2018
Cited alongside, same era.
Natural image matting via guided contextual attention
Li, Y.; and Lu, H. 2020 · 2020
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Boosting Semantic Human Matting With Coarse Annotations
Liu, J.; Yao, Y.; Hou, W.; Cui, M.; Xie, X.; Zhang, C.; and Hua, X.-S. 2020 · 2020
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Attention-Guided Hierarchical Structure Aggregation for Image Matting
Qiao, Y.; Liu, Y.; Yang, X.; Zhou, D.; Xu, M.; Zhang, Q.; and Wei1, X. 2020 · 2020
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Background Matting: The World is Your Green Screen
Sengupta, S.; Jayaram, V.; Curless, B.; Seitz, S.; and Kemelmacher-Shlizerman, I. 2020 · 2020
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Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
Toldo, M.; Michieli, U.; Agresti, G.; and Zanuttigh, P. 2020 · 2020
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A Survey of Unsupervised Deep Domain Adaptation
Wilson, G.; and Cook, D. J. 2020 · 2020
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Video Matting via Consistency-Regularized Graph Neural Networks
Wang, T.; Liu, S.; Tian, Y.; Li, K.; and Yang, M.-H. 2021 · 2021
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