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Recent image matting studies are developing towards proposing trimap-free or interactive methods for complete complex image matting tasks.
A bayesian approach to digital matting,
Y. Chuang, B. Curless, D. Salesin, R. Szeliski, · 2001
Earlier work this paper cites.
" grabcut" interactive foreground extraction using iterated graph cuts,
C. Rother, V. Kolmogorov, A. Blake, · 2004
Earlier work this paper cites.
An iterative optimization approach for unified image segmentation and matting,
J. Wang, M. F. Cohen, · 2005
Earlier work this paper cites.
Optimized color sampling for robust matting,
J. Wang, M. F. Cohen, · 2007
Earlier work this paper cites.
A closed-form solution to natural image matting,
A. Levin, D. Lischinski, Y. Weiss, · 2008
Earlier work this paper cites.
Image segmentation with a bounding box prior,
V. Lempitsky, P. Kohli, C. Rother, T. Sharp, · 2009
Earlier work this paper cites.
A perceptually motivated online benchmark for image matting,
C. Rhemann, C. Rother, J. Wang, M. Gelautz, P. Kohli, P. Rott, · 2009
Earlier work this paper cites.
Learning based digital matting,
Y. Zheng, C. Kambhamettu, · 2009
Earlier work this paper cites.
Shared sampling for real-time alpha matting,
E. S. L. Gastal, M. M. Oliveira, · 2010
Earlier work this paper cites.
The pascal visual object classes (voc) challenge,
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, A. Zisserman, · 2010
Earlier work this paper cites.
The pascal visual object classes (VOC) challenge,
M. Everingham, L. V. Gool, C. K. I. Williams, J. M. Winn, A. Zisserman, · 2010
Earlier work this paper cites.
A global sampling method for alpha matting,
K. He, C. Rhemann, C. Rother, X. Tang, J. Sun, · 2011
Earlier work this paper cites.
KNN matting,
Q. Chen, D. Li, C. Tang, · 2013
Earlier work this paper cites.
Background subtraction driven seeds selection for moving objects segmentation and matting,
B. Zhong, Y. Chen, Y. Chen, R. Ji, Y. Chen, D. Chen, H. Wang, · 2013
Earlier work this paper cites.
Predicting sufficient annotation strength for interactive foreground segmentation,
S. D. Jain, K. Grauman, · 2013
Earlier work this paper cites.
Interactive segmentation based on iterative learning for multiple-feature fusion,
L. Zhou, Y. Qiao, Y. Li, X. He, J. Yang, · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context,
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, C. L. Zitnick, · 2014
Earlier work this paper cites.
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation,
J. Dai, K. He, J. Sun, · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation,
O. Ronneberger, P. Fischer, T. Brox, · 2015
Cited alongside, same era.
A cluster sampling method for image matting via sparse coding,
X. Feng, X. Liang, Z. Zhang, · 2016
Cited alongside, same era.
Deep residual learning for image recognition,
K. He, X. Zhang, S. Ren, J. Sun, · 2016
Cited alongside, same era.
What’s the point: Semantic segmentation with point supervision,
A. Bearman, O. Russakovsky, V. Ferrari, L. Fei-Fei, · 2016
Cited alongside, same era.
Deep image matting,
N. Xu, B. L. Price, S. Cohen, T. S. Huang, · 2017
Cited alongside, same era.
Designing effective inter-pixel information flow for natural image matting,
Y. Aksoy, T. O. Aydin, M. Pollefeys, · 2017
Cited alongside, same era.
Background matting: The world is your green screen,
S. Sengupta, V. Jayaram, B. Curless, S. M. Seitz, I. Kemelmacher-Shlizerman, · 2020
Later among the works it cites.
Is a green screen really necessary for real-time human matting?,
Z. Ke, K. Li, Y. Zhou, Q. Wu, X. Mao, Q. Yan, R. W. Lau, · 2020
Later among the works it cites.
Natural image matting via guided contextual attention,
Y. Li, H. Lu, · 2020
Later among the works it cites.
Attention-guided hierarchical structure aggregation for image matting,
Y. Qiao, Y. Liu, X. Yang, D. Zhou, M. Xu, Q. Zhang, X. Wei, · 2020
Later among the works it cites.
Interactive object segmentation with inside-outside guidance,
S. Zhang, J. H. Liew, Y. Wei, S. Wei, Y. Zhao, · 2020
Later among the works it cites.
Multi-focus image fusion based on multi-scale gradients and image matting,
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Simple does it: Weakly supervised instance and semantic segmentation,
A. Khoreva, R. Benenson, J. Hosang, M. Hein, B. Schiele, · 2017
Cited alongside, same era.
Deep grabcut for object selection,
N. Xu, B. Price, S. Cohen, J. Yang, T. Huang, · 2017
Cited alongside, same era.
Extreme clicking for efficient object annotation,
D. P. Papadopoulos, J. R. Uijlings, F. Keller, V. Ferrari, · 2017
Cited alongside, same era.
Pyramid scene parsing network,
H. Zhao, J. Shi, X. Qi, X. Wang, J. Jia, · 2017
Cited alongside, same era.
Tom-net: Learning transparent object matting from a single image,
G. Chen, K. Han, K.-Y. K. Wong, · 2018
Cited alongside, same era.
Deep extreme cut: From extreme points to object segmentation,
K.-K. Maninis, S. Caelles, J. Pont-Tuset, L. Van Gool, · 2018
Cited alongside, same era.
J. Chen, X. Li, L. Luo, J. Ma, · 2021
Later among the works it cites.
Real-time high-resolution background matting,
S. Lin, A. Ryabtsev, S. Sengupta, B. L. Curless, S. M. Seitz, I. Kemelmacher-Shlizerman, · 2021
Later among the works it cites.
Prior-induced information alignment for image matting,
Y. Liu, J. Xie, Y. Qiao, Y. Tang, X. Yang, · 2021
Later among the works it cites.
Deep automatic natural image matting,
J. Li, J. Zhang, D. Tao, · 2021
Later among the works it cites.
Mask guided matting via progressive refinement network,
Q. Yu, J. Zhang, H. Zhang, Y. Wang, Z. Lin, N. Xu, Y. Bai, A. L. Yuille, · 2021
Later among the works it cites.
Improved image matting via real-time user clicks and uncertainty estimation,
T. Wei, D. Chen, W. Zhou, J. Liao, H. Zhao, W. Zhang, N. Yu, · 2021
Later among the works it cites.
Interactive prostate mr image segmentation based on convlstms and ggnn,
Z. Tian, X. Li, Z. Chen, Y. Zheng, H. Fan, Z. Li, C. Li, S. Du, · 2021
Later among the works it cites.
Matteformer: Transformer-based image matting via prior-tokens,
G. Park, S. Son, J. Yoo, S. Kim, N. Kwak, · 2022
Closest in time.
Deep interactive image matting with feature propagation,
H. Ding, H. Zhang, C. Liu, X. Jiang, · 2022
Closest in time.
Effective local-global transformer for natural image matting,
L. Hu, Y. Kong, J. Li, X. Li, · 2023
Closest in time.
Sampling propagation attention with trimap generation network for natural image matting,
Y. Zhou, L. Zhou, T. L. Lam, Y. Xu, · 2023
Closest in time.
User-guided deep human image matting using arbitrary trimaps,
X. Fang, S.-H. Zhang, T. Chen, X. Wu, A. Shamir, S.-M. Hu, · 2052
Closest in time.