11.14.3.8 Image Matting, Video Matting

Alpha Matting Evaluation Website,
2009.
WWW Link. Dataset, Image Matting.
See also perceptually motivated online benchmark for image matting, A.

Sun, J., Jia, J., Tang, C.K., Shum, H.Y.,
Poisson matting,
SIGGraph-2004(315-321).
DOI Link BibRef 0400

Levin, A.[Anat], Lischinski, D.[Dani], Weiss, Y.[Yair],
A Closed-Form Solution to Natural Image Matting,
PAMI(30), No. 2, February 2008, pp. 228-242.
IEEE DOI 0712
BibRef
Earlier: CVPR06(I: 61-68).
IEEE DOI 0606
BibRef

Elnekave, A.[Ariel], Weiss, Y.[Yair],
Generating Natural Images with Direct Patch Distributions Matching,
ECCV22(XVII:544-560).
Springer DOI 2211
BibRef

Bai, X.[Xue], Sapiro, G.[Guillermo],
Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting,
IJCV(82), No. 2, April 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier:
A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting,
ICCV07(1-8).
IEEE DOI 0710
BibRef
Earlier:
Distancecut: Interactive Segmentation and Matting of Images and Videos,
ICIP07(II: 249-252).
IEEE DOI 0709
BibRef

Hosaka, T.[Tadaaki], Kobayashi, T.[Takumi], Otsu, N.[Nobuyuki],
Image matting based on local color discrimination by SVM,
PRL(30), No. 14, 15 October 2009, pp. 1253-1263.
Elsevier DOI 0909
BibRef
Earlier: A2, A1, A3:
Image Matting in the Framework of Quantification IV,
ICIP07(VI: 57-60).
IEEE DOI 0709
Image matting; Markov random field; Support vector machine; Belief propagation BibRef

Huang, M.C.[Meng-Cheng], Liu, F.[Fang], Wu, E.[Enhua],
A GPU-based matting Laplacian solver for high resolution image matting,
VC(26), No. 6-8, June 2010, pp. 943-950.
WWW Link. 1101
BibRef

Prabhu, S.M.[Sahana M.], Rajagopalan, A.N.,
Natural Matting for Degraded Pictures,
IP(20), No. 12, December 2011, pp. 3647-3653.
IEEE DOI 1112
BibRef
Earlier:
Recursive Video Matting and Denoising,
ICPR10(4524-4527).
IEEE DOI 1008
BibRef

Singaraju, D.[Dheeraj], Vidal, R.[Rene],
Estimation of Alpha Mattes for Multiple Image Layers,
PAMI(33), No. 7, July 2011, pp. 1295-1309.
IEEE DOI 1106
BibRef
Earlier:
Interactive image matting for multiple layers,
CVPR08(1-7).
IEEE DOI 0806
determine contribution of foreground and background at each pixel. Apply to multiple layers. BibRef

Singaraju, D.[Dheeraj], Vidal, R.[Rene],
Using global bag of features models in random fields for joint categorization and segmentation of objects,
CVPR11(2313-2319).
IEEE DOI 1106
BibRef

Singaraju, D.[Dheeraj], Grady, L.[Leo], Vidal, R.[Rene],
P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation,
CVPR09(1303-1310).
IEEE DOI 0906
BibRef
Earlier:
Interactive image segmentation via minimization of quadratic energies on directed graphs,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Singaraju, D.[Dheeraj], Rother, C.[Carsten], Rhemann, C.[Christoph],
New appearance models for natural image matting,
CVPR09(659-666).
IEEE DOI 0906
BibRef

Wang, L.[Liang], Gong, M.L.[Ming-Lun], Zhang, C.X.[Chen-Xi], Yang, R.G.[Rui-Gang], Zhang, C.[Cha], Yang, Y.H.[Yee-Hong],
Automatic Real-Time Video Matting Using Time-of-Flight Camera and Multichannel Poisson Equations,
IJCV(97), No. 1, March 2012, pp. 104-121.
WWW Link. 1202
BibRef

Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Near-Real-Time Image Matting with Known Background,
CRV09(81-87).
IEEE DOI 0905
BibRef

Cho, S.Y.[Sun-Young], Byun, H.R.[Hye-Ran],
Dynamic curve color model for image matting,
PRL(33), No. 7, 1 May 2012, pp. 920-933.
Elsevier DOI 1203
BibRef
Earlier:
Adaptive Color Curve Models for Image Matting,
ICPR10(225-228).
IEEE DOI 1008
Award, ICPR. Image matting; Dynamic curve color model; Bézier curve; Alpha estimation BibRef

Hu, W.C.[Wu-Chih], Jhu, J.J.[Jia-Jie], Lin, C.P.[Cheng-Pin],
Unsupervised and reliable image matting based on modified spectral matting,
JVCIR(23), No. 4, May 2012, pp. 665-676.
Elsevier DOI 1205
Image matting; Spectral matting; Alpha matte; Matting Laplacian; Component classification; Component palette; Image composition; Consistency of color temperature BibRef

Hu, W.C.[Wu-Chih], Hsu, J.F.[Jung-Fu],
Automatic spectral video matting,
PR(46), No. 4, April 2013, pp. 1183-1194.
Elsevier DOI 1301
Video matting; Image matting; Spectral matting; Component matching; Hue difference BibRef

Wang, P.[Pan], Cheng, Z.Q.[Zhi-Quan], Martin, R.[Ralph], Liu, H.H.[Hua-Hai], Cai, X.[Xun], Li, S.[Sikun],
NUMA-aware image compositing on multi-GPU platform,
VC(29), No. 6-8, June 2013, pp. 639-649.
WWW Link. 1306
BibRef

Chen, Q.F.[Qi-Feng], Li, D.Z.[Ding-Zeyu], Tang, C.K.[Chi-Keung],
KNN Matting,
PAMI(35), No. 9, 2013, pp. 2175-2188.
IEEE DOI 1307
BibRef
Earlier: CVPR12(869-876).
IEEE DOI 1208
Image color analysis BibRef

Li, D.Z.[Ding-Zeyu], Chen, Q.F.[Qi-Feng], Tang, C.K.[Chi-Keung],
Motion-Aware KNN Laplacian for Video Matting,
ICCV13(3599-3606)
IEEE DOI 1403
BibRef

Varnousfaderani, E.S.[Ehsan Shahrian], Rajan, D.[Deepu],
Using texture to complement color in image matting,
IVC(31), No. 9, 2013, pp. 658-672.
Elsevier DOI 1307
Alpha matting BibRef

Varnousfaderani, E.S.[Ehsan Shahrian], Rajan, D.[Deepu],
Weighted Color and Texture Sample Selection for Image Matting,
IP(22), No. 11, 2013, pp. 4260-4270.
IEEE DOI 1310
BibRef
Earlier: CVPR12(718-725).
IEEE DOI 1208
Alpha matting;color and texture;local and global sampling BibRef

Prabhu, S.M.[Sahana M.], Rajagopalan, A.N.,
Unified multiframe super-resolution of matte, foreground, and background,
JOSA-A(30), No. 8, August 2013, pp. 1524-1534.
WWW Link. 1309
BibRef
Earlier:
Joint multi-frame super-resolution and matting,
ICPR12(1924-1927).
WWW Link. 1302
BibRef

He, B.[Bei], Wang, G.J.[Gui-Jin], Shi, C.[Chenbo], Yin, X.W.[Xuan-Wu], Liu, B.[Bo], Lin, X.G.[Xing-Gang],
High-Accuracy and Quick Matting Based on Sample-Pair Refinement and Local Optimization,
IEICE(E96-D), No. 9, September 2013, pp. 2096-2106.
WWW Link. 1309

See also High-Accuracy Stereo Matching Based on Adaptive Ground Control Points. BibRef

Ruan, Z.W.[Zhi-Wei], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang], Xue, J.H.[Jing-Hao], Jiang, Y.[Yong],
Deformable Part-Based Model Transfer for Object Detection,
IEICE(E97-D), No. 5, May 2014, pp. 1394-1397.
WWW Link. 1405
Like transfer learning, but for deformable part models. BibRef

Ruan, Z.W.[Zhi-Wei], Wang, G.J.[Gui-Jin], Xue, J.H.[Jing-Hao], Lin, X.,
Subcategory Clustering with Latent Feature Alignment and Filtering for Object Detection,
SPLetters(22), No. 2, February 2015, pp. 244-248.
IEEE DOI 1410
Clustering algorithms BibRef

He, B.[Bei], Wang, G.J.[Gui-Jin], Ruan, Z.W.[Zhi-Wei], Yin, X.[Xuanwu], Pei, X.K.[Xiao-Kang], Lin, X.G.[Xing-Gang],
Local matting based on sample-pair propagation and iterative refinement,
ICIP12(285-288).
IEEE DOI 1302
BibRef

Zhao, J.F.[Ju-Feng], Feng, H.J.[Hua-Jun], Xu, Z.H.[Zhi-Hai], Li, Q.[Qi], Tao, X.P.[Xiao-Ping],
Automatic blur region segmentation approach using image matting,
SIViP(7), No. 6, November 2013, pp. 1173-1181.
Springer DOI 1310
BibRef

Xiao, C.X.[Chun-Xia], Liu, M.[Meng], Xiao, D.L.[Dong-Lin], Dong, Z.[Zhao], Ma, K.L.[Kwan-Liu],
Fast Closed-Form Matting Using a Hierarchical Data Structure,
CirSysVideo(24), No. 1, January 2014, pp. 49-62.
IEEE DOI 1402
Gaussian processes BibRef

Jin, M., Kim, B., Song, W.,
Adaptive Propagation-Based Color-Sampling for Alpha Matting,
CirSysVideo(24), No. 7, July 2014, pp. 1101-1110.
IEEE DOI 1407
Adaptation models BibRef

Wang, J.[Jue], Cohen, M.F.[Michael F.],
Image and Video Matting: A Survey,
FTCGV(3), Issue 2, 2007, pp. 91-175.
DOI Link 1410
Survey, Matting. Published May 2008. BibRef

Gong, M., Qian, Y., Cheng, L.,
Integrated Foreground Segmentation and Boundary Matting for Live Videos,
IP(24), No. 4, April 2015, pp. 1356-1370.
IEEE DOI 1503
Cameras BibRef

Park, J.S.[Jong-Seung], Lee, S.H.[Seung-Ho],
Automatic Mura Detection for Display Film Using Mask Filtering in Wavelet Transform,
IEICE(E98-D), No. 3, March 2015, pp. 737-740.
WWW Link. http://search.ieice.org/bin/summary.php?id=e98-d_3_737&category=D&year=2015&lang=E&abst= 1504
BibRef

Hernandez-Lopez, F.J.[Francisco J.], Rivera, M.[Mariano],
AVScreen: a real-time video augmentation method,
RealTimeIP(10), No. 2, June 2015, pp. 453-465.
Springer DOI 1506
BibRef

Murakami, T.[Tatsuki], Kageyama, Y.[Yoichi], Nishida, M.[Makoto],
Background replacement using chromatic adaptation transform for visual communication,
JVCIR(30), No. 1, 2015, pp. 242-251.
Elsevier DOI 1507
Visual communication BibRef

Duan, Q.[Qi], Cai, J.F.[Jian-Fei], Zheng, J.M.[Jian-Min],
Compressive environment matting,
VC(31), No. 12, December 2015, pp. 1587-1600.
WWW Link. 1512
BibRef
Earlier:
Vector field fitting for real-time environment matting of transparent objects,
ICIP09(3229-3232).
IEEE DOI 0911
BibRef

Freeman, T.E.[Tyler E.], Loschky, L.C.[Lester C.], Hansen, B.C.[Bruce C.],
Scene masking is affected by trial blank-screen luminance,
SP:IC(39, Part B), No. 1, 2015, pp. 319-327.
Elsevier DOI 1512
Visual masking BibRef

Wu, Y., Mei, T., Xu, Y., Yu, N., Li, S.,
MoVieUp: Automatic Mobile Video Mashup,
CirSysVideo(25), No. 12, December 2015, pp. 1941-1954.
IEEE DOI 1601
Cameras BibRef

Wu, H.[Hao], Li, Y.[Yueli], Miao, Z.J.[Zhen-Jiang], Wang, Y.Q.[Yu-Qi], Zhu, R.S.[Run-Sheng], Bie, R.F.[Rong-Fang], Lie, R.[Rui],
A new sampling algorithm for high-quality image matting,
JVCIR(38), No. 1, 2016, pp. 573-581.
Elsevier DOI 1605
Random sampling BibRef

Wang, W., Xu, P., Bie, X.H.[Xiao-Hui], Hua, M.[Miao],
Enhanced Use of Mattes for Easy Image Composition,
IP(25), No. 10, October 2016, pp. 4608-4616.
IEEE DOI 1610
image enhancement BibRef

di Martino, J.M.[J. Matías], Facciolo, G.[Gabriele], Meinhardt-Llopis, E.[Enric],
Poisson Image Editing,
IPOL(6), 2016, pp. 300-325.
DOI Link 1612
Code, Poisson. Gradient based image processing.
See also Poisson image editing.
See also Fourier implementation of Poisson image editing. BibRef

Li, C.[Chao], Wang, P.[Ping], Zhu, X.Y.[Xiang-Yu], Pi, H.[Huali],
Three-layer graph framework with the sumD feature for alpha matting,
CVIU(162), No. 1, 2017, pp. 34-45.
Elsevier DOI 1710
Alpha matting BibRef

Lee, Y., Yang, S.,
Parallel Block Sequential Closed-Form Matting With Fan-Shaped Partitions,
IP(27), No. 2, February 2018, pp. 594-605.
IEEE DOI 1712
Benchmark testing, Computational complexity, Image color analysis, Mathematical model, Memory management, parallel processing BibRef

Pei, Z.[Zhao], Chen, X.[Xida], Yang, Y.H.[Yee-Hong],
All-In-Focus Synthetic Aperture Imaging Using Image Matting,
CirSysVideo(28), No. 2, February 2018, pp. 288-301.
IEEE DOI 1802
Apertures, Cameras, Estimation, Focusing, Labeling, Minimization, Background estimation, energy minimization, image matting, synthetic aperture imaging BibRef

Pei, Z.[Zhao], Jin, M.[Min], Zhang, Y.N.[Yan-Ning], Ma, M.[Miao], Yang, Y.H.[Yee-Hong],
All-in-focus synthetic aperture imaging using generative adversarial network-based semantic inpainting,
PR(111), 2021, pp. 107669.
Elsevier DOI 2012
Synthetic aperture imaging, Occlusions handling, Image inpainting BibRef

Cao, G.Y.[Guang-Ying], Li, J.W.[Jian-Wei], Chen, X.W.[Xiao-Wu], He, Z.Q.A.[Zhi-Qi-Ang],
Patch-based self-adaptive matting for high-resolution image and video,
VC(35), No. 1, January 2018, pp. 133-147.
WWW Link. 1902
BibRef

Huang, H., Liang, Y., Yang, X., Hao, Z.,
Pixel-Level Discrete Multiobjective Sampling for Image Matting,
IP(28), No. 8, August 2019, pp. 3739-3751.
IEEE DOI 1907
image colour analysis, image sampling, optimisation, high-quality alpha mattes, multiple sampling criteria, image matting BibRef

Ye, J., Jing, Y., Wang, X., Ou, K., Tao, D., Song, M.,
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance,
IP(29), No. , 2020, pp. 1177-1191.
IEEE DOI 1911
Image segmentation, Semantics, Task analysis, Image edge detection, Hair, Image resolution, Image color analysis, Human parsing, image matting BibRef

Wang, X.F.[Xiao-Fan], Li, S.J.[Sheng-Jie], Sui, L.S.[Lian-Sheng], Wang, J.H.[Jia-Hao],
Quick automatic head image matting method based on segmentation and propagation,
PRL(130), 2020, pp. 30-37.
Elsevier DOI 2002
Image matting, Image segmentation, Gray level, Propagation method, Contour extraction BibRef

Karacan, L., Erdem, A.T., Erdem, E.,
Alpha Matting With KL-Divergence-Based Sparse Sampling,
IP(26), No. 9, September 2017, pp. 4523-4536.
IEEE DOI 1708
BibRef
Earlier:
Image Matting with KL-Divergence Based Sparse Sampling,
ICCV15(424-432)
IEEE DOI 1602
Atmospheric measurements compressed sensing, feature extraction, image sampling, KL-divergence-based sparse sampling, feature extraction, sampling-based alpha matting, sampling-based methods, video matting, Feature extraction, Image color analysis, Image segmentation, Laplace equations, Robustness, Image matting, KL-divergence, video matting BibRef

Zou, D.Q.[Dong-Qing], Chen, X.W.[Xiao-Wu], Cao, G.Y.[Guang-Ying], Wang, X.G.[Xiao-Gang],
Unsupervised Video Matting via Sparse and Low-Rank Representation,
PAMI(42), No. 6, June 2020, pp. 1501-1514.
IEEE DOI 2005
BibRef
Earlier:
Video Matting via Sparse and Low-Rank Representation,
ICCV15(1564-1572)
IEEE DOI 1602
Optical imaging, Dictionaries, Image color analysis, Streaming media, Topology, Geometrical optics, Benchmark testing, discriminative dictionary. BibRef

Zhang, Z.[Zhan], Wang, Y.H.[Yue-Hai], Yang, J.Y.[Jian-Yi],
Deep quantised portrait matting,
IET-CV(14), No. 6, September 2020, pp. 339-349.
DOI Link 2010
BibRef

Chetouani, A., Pedersen, M., Le Moan, S.,
Prediction of Chromatic Visual Masking with Deep Learning,
ICIP20(146-150)
IEEE DOI 2011
Visualization, Correlation, Image color analysis, Entropy, Artificial neural networks, Masking threshold, Visual Masking, Deep Learning BibRef

Harvey, J., Le Moan, S.,
Gradual Chroma Reduction and High-Level Visual Masking in Videos,
ICIP20(151-155)
IEEE DOI 2011
Videos, Image color analysis, Visualization, Matlab, Standards, Observers, Image Quality Assessment, Perception, Visual Memory, Change Blindness. BibRef

Yoon, D., Park, J., Cho, D.,
Lightweight Deep CNN for Natural Image Matting via Similarity-Preserving Knowledge Distillation,
SPLetters(27), 2020, pp. 2139-2143.
IEEE DOI 2012
Knowledge engineering, Signal processing algorithms, Decoding, Training, Inference algorithms, Image color analysis, Transforms, knowledge distillation BibRef

Zhou, F.F.[Fen-Fen], Tian, Y.J.[Ying-Jie], Qi, Z.Q.[Zhi-Quan],
Attention Transfer Network for Nature Image Matting,
CirSysVideo(31), No. 6, June 2021, pp. 2192-2205.
IEEE DOI 2106
Image color analysis, Semantics, Loss measurement, Task analysis, Machine learning, Feature extraction, perceptual loss BibRef

Amin, B.[Benish], Riaz, M.M.[M. Mohsin], Ghafoor, A.[Abdul],
Fuzzy based iterative matting technique for underwater images,
IET-IPR(15), No. 2, 2021, pp. 419-427.
DOI Link 2106
BibRef

Li, J.Z.Z.[Ji-Zhi-Zi], Zhang, J.[Jing], Maybank, S.J.[Stephen J.], Tao, D.C.[Da-Cheng],
Bridging Composite and Real: Towards End-to-End Deep Image Matting,
IJCV(130), No. 2, February 2022, pp. 246-266.
Springer DOI 2202
BibRef

Fang, X.N.[Xiao-Nan], Zhang, S.H.[Song-Hai], Chen, T.[Tao], Wu, X.[Xian], Shamir, A.[Ariel], Hu, S.M.[Shi-Min],
User-Guided Deep Human Image Matting Using Arbitrary Trimaps,
IP(31), 2022, pp. 2040-2052.
IEEE DOI 2203
Image segmentation, Training, Estimation, Convolutional neural networks, Deep learning, Predictive models, deep neural networks BibRef

Ding, H.H.[Heng-Hui], Zhang, H.[Hui], Liu, C.[Chang], Jiang, X.D.[Xu-Dong],
Deep Interactive Image Matting With Feature Propagation,
IP(31), 2022, pp. 2421-2432.
IEEE DOI 2203
Image segmentation, Feature extraction, Image color analysis, Task analysis, Estimation, Semantics, Saliency detection, clicks BibRef

Liu, Y.H.[Yu-Hao], Xie, J.[Jiake], Qiao, Y.[Yu], Tang, Y.[Yong], Yang, X.[Xin],
Prior-Induced Information Alignment for Image Matting,
MultMed(24), 2022, pp. 2727-2738.
IEEE DOI 2206
Image color analysis, Training, Task analysis, Modulation, Visualization, Learning systems, Generative adversarial networks, information alignment BibRef

Dong, L.[Li], Liang, Z.[Zheng], Wang, Y.[Yue],
Graph Convolutional Network-Based Image Matting Algorithm for Computer Vision Applications,
IET-IPR(16), No. 10, 2022, pp. 2817-2825.
DOI Link 2207
BibRef

Xu, Y.[Yong], Liu, B.[Baoling], Quan, Y.H.[Yu-Hui], Ji, H.[Hui],
Unsupervised Deep Background Matting Using Deep Matte Prior,
CirSysVideo(32), No. 7, July 2022, pp. 4324-4337.
IEEE DOI 2207
Training, Training data, Unsupervised learning, Task analysis, Convolutional neural networks, Deep learning, Green products, unsupervised learning BibRef

Xu, Y.Y.[Yang-Yang], Zhou, Z.Y.[Ze-Yang], He, S.F.[Sheng-Feng],
Self-Supervised Matting-Specific Portrait Enhancement and Generation,
IP(31), 2022, pp. 5332-5342.
IEEE DOI 2208
Space exploration, Codes, Data models, Semantics, Entropy, Predictive models, Generative adversarial networks, generative model BibRef

Bello, J.L.G.[Juan Luis Gonzalez], Kim, M.C.[Mun-Churl],
Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting,
PAMI(44), No. 12, December 2022, pp. 9131-9149.
IEEE DOI 2212
BibRef
Earlier:
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss,
CVPR21(6847-6856)
IEEE DOI 2111
Training, Boosting, Cameras, Estimation, Kernel, Task analysis, Image reconstruction, Monocular depth estimation, ambiguity boosting. Measurement, Laplace equations, Image coding, Semantics, Estimation BibRef

Bello, J.L.G.[Juan Luis Gonzalez], Moon, J.[Jaeho], Kim, M.C.[Mun-Churl],
Detail-Preserving Self-Supervised Monocular Depth with Self-Supervised Structural Sharpening,
LXCV23(254-264)
IEEE DOI 2309
BibRef

Lepcha, D.C.[Dawa Chyophel], Goyal, B.[Bhawna], Dogra, A.[Ayush],
Image Matting: A Comprehensive Survey on Techniques, Comparative Analysis, Applications and Future Scope,
IJIG(23), No. 1 2023, pp. 2350011.
DOI Link 2302
Survey, Image Matting. BibRef

Liang, Y.H.[Yi-Hui], Zhu, Y.J.[Yong-Jun], Deng, C.J.[Chun-Jian], Feng, F.J.[Fu-Jian], Cai, Z.Q.[Zhao-Quan],
Coarse trimap expansion based on one-class classification for image matting,
IET-IPR(17), No. 2, 2023, pp. 450-462.
DOI Link 2302
BibRef

Jiang, W.H.[Wei-Hao], Yu, D.D.[Dong-Dong], Xie, Z.Z.[Zhao-Zhi], Li, Y.[Yaoyi], Yuan, Z.H.[Ze-Huan], Lu, H.T.[Hong-Tao],
Trimap-guided feature mining and fusion network for natural image matting,
CVIU(230), 2023, pp. 103645.
Elsevier DOI 2303
Trimap-based matting, Trimap guidance, User interaction, Dynamic feature fusion BibRef

Ma, S.H.[Si-Han], Li, J.Z.Z.[Ji-Zhi-Zi], Zhang, J.[Jing], Zhang, H.[He], Tao, D.C.[Da-Cheng],
Rethinking Portrait Matting with Privacy Preserving,
IJCV(131), No. 8, August 2023, pp. 2172-2197.
Springer DOI 2307
BibRef

Qin, X.[Xujia], Yang, G.[Guang], Shao, Q.[Qin], Zheng, H.B.[Hong-Bo], Zhang, M.[Meiyu],
Lightweight image matting algorithm based on deep learning,
IET-IPR(17), No. 10, 2023, pp. 2829-2837.
DOI Link 2308
attention mechanism, deep learning, image matting, knowledge distillation, lightweight BibRef

Peng, B.[Bo], Zhang, M.L.[Ming-Liang], Lei, J.J.[Jian-Jun], Fu, H.Z.[Hua-Zhu], Shen, H.F.[Hai-Feng], Huang, Q.M.[Qing-Ming],
RGB-D Human Matting: A Real-World Benchmark Dataset and a Baseline Method,
CirSysVideo(33), No. 8, August 2023, pp. 4041-4053.
IEEE DOI 2308
Dataset, Matting. Task analysis, Image color analysis, Semantics, Manuals, Benchmark testing, Feature extraction, Semantic segmentation, baseline BibRef

Hu, L.P.[Liang-Peng], Kong, Y.T.[Ya-Ting], Li, J.[Jide], Li, X.Q.[Xiao-Qiang],
Effective Local-Global Transformer for Natural Image Matting,
CirSysVideo(33), No. 8, August 2023, pp. 3888-3898.
IEEE DOI 2308
Transformers, Task analysis, Image color analysis, Neural networks, Deep learning, Convolution, Natural image matting, transformer BibRef

Francini, S.[Saverio], Hermosilla, T.[Txomin], Coops, N.C.[Nicholas C.], Wulder, M.A.[Michael A.], White, J.C.[Joanne C.], Chirici, G.[Gherardo],
An assessment approach for pixel-based image composites,
PandRS(202), 2023, pp. 1-12.
Elsevier DOI 2308
Cloud-free composites, BAP, Medoid, Remote Sensing, Landsat BibRef

Zhou, Y.Z.[Yuhong-Ze], Zhou, L.G.[Li-Guang], Lam, T.L.[Tin Lun], Xu, Y.S.[Yang-Sheng],
Sampling Propagation Attention With Trimap Generation Network for Natural Image Matting,
CirSysVideo(33), No. 10, October 2023, pp. 5828-5843.
IEEE DOI 2310
BibRef

Dai, L.H.[Lin-Hui], Song, X.[Xiang], Liu, X.H.[Xiao-Hong], Li, C.Q.[Cheng-Qi], Shi, Z.H.[Zhi-Hao], Chen, J.[Jun], Brooks, M.[Martin],
Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network via Joint Learning,
MultMed(25), 2023, pp. 4868-4879.
IEEE DOI 2311
BibRef

Wei, T.Y.[Tian-Yi], Chen, D.D.[Dong-Dong], Zhou, W.B.[Wen-Bo], Liao, J.[Jing], Zhao, H.Q.[Han-Qing], Zhang, W.M.[Wei-Ming], Hua, G.[Gang], Yu, N.H.[Neng-Hai],
Deep Image Matting With Sparse User Interactions,
PAMI(46), No. 2, February 2024, pp. 881-895.
IEEE DOI 2401
BibRef
Earlier: A1, A2, A3, A4, A5, A6, A8, Only:
Improved Image Matting via Real-time User Clicks and Uncertainty Estimation,
CVPR21(15369-15378)
IEEE DOI 2111
Graphics, Uncertainty, Estimation, Real-time systems BibRef

Sun, Y.[Yanan], Tang, C.K.[Chi-Keung], Tai, Y.W.[Yu-Wing],
Semantic Image Matting: General and Specific Semantics,
IJCV(132), No. 3, March 2024, pp. 710-730.
Springer DOI 2402
BibRef

Zhang, G.J.[Gang-Jian], Wei, S.K.[Shi-Kui], Pang, H.X.[Hua-Xin], Qiu, S.[Shuang], Zhao, Y.[Yao],
Enhance Composed Image Retrieval via Multi-Level Collaborative Localization and Semantic Activeness Perception,
MultMed(26), 2024, pp. 916-928.
IEEE DOI 2402
Semantics, Location awareness, Task analysis, Image retrieval, Training, Collaboration, Transformers, Composed image retrieval, image retrieval BibRef

Wang, Y.F.[Yan-Feng], Tang, L.[Lv], Zhong, Y.J.[Yi-Jie], Li, B.[Bo],
From Composited to Real-World: Transformer-Based Natural Image Matting,
CirSysVideo(34), No. 4, April 2024, pp. 2097-2111.
IEEE DOI 2404
Transformers, Task analysis, Training, Visualization, Decoding, Semantics, Natural image matting, dynamic attention pruning BibRef

Liu, Q.L.[Qing-Lin], Zhang, S.P.[Sheng-Ping], Meng, Q.[Quanling], Zhong, B.[Bineng], Liu, P.Q.[Pei-Qiang], Yao, H.X.[Hong-Xun],
End-to-End Human Instance Matting,
CirSysVideo(34), No. 4, April 2024, pp. 2633-2647.
IEEE DOI 2404
Image segmentation, Feature extraction, Semantics, Decoding, Codes, Transformers, Streaming media, Human instance matting, instance segmentation BibRef

Yao, G.L.[Gui-Lin], Sun, A.[Anming],
Multi-guided-based image matting via boundary detection,
CVIU(243), 2024, pp. 103998.
Elsevier DOI 2405
Image matting, Boundary detection, Deep learning, Transformer BibRef

Wu, C.Y.[Cheng-Yu], Qin, J.S.[Jiang-Shan], Li, X.Y.[Xiang-Yang], Zhan, A.[Ao], Wang, Z.Q.[Zheng-Qiang],
Real-Time Video Matting Based on RVM and Mobile ViT,
IEICE(E108-D), No. 6, June 2024, pp. 792-796.
WWW Link. 2406
BibRef

Yao, J.F.[Jing-Feng], Wang, X.G.[Xing-Gang], Ye, L.[Lang], Liu, W.Y.[Wen-Yu],
Matte anything: Interactive natural image matting with segment anything model,
IVC(147), 2024, pp. 105067.
Elsevier DOI Code:
WWW Link. 2406
Image matting, Image segmentation, Segment anything model BibRef

Kong, Y.T.[Ya-Ting], Li, J.[Jide], Hu, L.P.[Liang-Peng], Li, X.Q.[Xiao-Qiang],
Color subspace exploring for natural image matting,
IET-IPR(18), No. 9, 2024, pp. 2244-2256.
DOI Link 2407
convolution, convolutional neural nets, image segmentation BibRef

Zou, Z.T.[Zhen-Tao], Chen, L.[Lin], Jiang, X.[Xue], Zoubir, A.M.[Abdelhak M.],
Exploiting Generative Diffusion Prior With Latent Low-Rank Regularization for Image Inpainting,
SPLetters(31), 2024, pp. 2335-2339.
IEEE DOI 2410
Tensors, Diffusion models, Image restoration, Image reconstruction, Image synthesis, Task analysis, Self-supervised learning, reverse sampling process BibRef

Wang, J.S.[Jia-Sheng], Wang, Z.H.[Zhen-Hua], Ning, J.F.[Ji-Feng],
Edge-Reserved Knowledge Distillation for Image Matting,
ICIP24(2571-2577)
IEEE DOI 2411
Measurement, Learning systems, Text recognition, Image color analysis, Image edge detection, Semantics, Knowledge Distillation BibRef

Guo, H.[He], Ye, Z.X.[Zi-Xuan], Cao, Z.G.[Zhi-Guo], Lu, H.[Hao],
In-Context Matting,
CVPR24(3711-3720)
IEEE DOI Code:
WWW Link. 2410
Accuracy, Automation, Codes, Text to image, Estimation, Benchmark testing BibRef

Huynh, C.[Chuong], Oh, S.W.[Seoung Wug], Shrivastava, A.[Abhinav], Lee, J.Y.[Joon-Young],
MaGGIe: Masked Guided Gradual Human Instance Matting,
CVPR24(3870-3879)
IEEE DOI Code:
WWW Link. 2410
Accuracy, Costs, Convolution, Training data, Benchmark testing, Transformers BibRef

Wang, Z.T.[Zi-Tao], Miao, Q.G.[Qi-Guang], Xi, Y.[Yue], Zhao, P.P.[Pei-Pei],
EFormer: Enhanced Transformer Towards Semantic-Contour Features of Foreground for Portraits Matting,
CVPR24(3880-3889)
IEEE DOI 2410
Semantics, Transform coding, Detectors, Manuals, Predictive models, Feature extraction, Transformers, Portrait Matting, Transformer, Segmentation BibRef

Enomoto, K.[Kenji], Rhodes, T.[TJ], Price, B.[Brian], Miller, G.[Gavin],
Polar Matte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting,
CVPR24(3901-3909)
IEEE DOI 2410
Optical polarization, Manuals, Optical imaging, Reflection, Time measurement, Real-time systems, Liquid crystal displays BibRef

Ye, Z.X.[Zi-Xuan], Liu, W.Z.[Wen-Ze], Guo, H.[He], Liang, Y.[Yujia], Hong, C.Y.[Chao-Yi], Lu, H.[Hao], Cao, Z.G.[Zhi-Guo],
Unifying Automatic and Interactive Matting with Pretrained ViTs,
CVPR24(25585-25594)
IEEE DOI 2410
Adaptation models, Codes, Accuracy, Switches, Probabilistic logic, Control systems, Image Matting, Dense Prediction BibRef

Li, J.C.[Jia-Chen], Jain, J.[Jitesh], Shi, H.[Humphrey],
Matting Anything,
WhatNext24(1775-1785)
IEEE DOI Code:
WWW Link. 2410
Measurement, Machine-to-machine communications, Image segmentation, Visualization, Semantics, Benchmark testing, Image Matting BibRef

Shen, Y.[Yezhi], Xu, W.C.[Wei-Chen], Lin, Q.[Qian], Allebach, J.P.[Jan P.], Zhu, F.Q.[Feng-Qing],
GRIB: Combining Global Reception and Inductive Bias For Human Segmentation and Matting,
CV4MR24(5576-5585)
IEEE DOI 2410
Training, Accuracy, Runtime, Optimization methods, Object segmentation, Streaming media, Mixed Reality, First-person view BibRef

Wang, C.[Chao],
A Diffusion-Based Method for Multi-Turn Compositional Image Generation,
VAQuality24(374-384)
IEEE DOI 2404
Image synthesis, Fuses, Noise reduction, Semantics, Logic gates, Multitasking BibRef

Mehl, L.[Lukas], Bruhn, A.[Andrés], Gross, M.[Markus], Schroers, C.[Christopher],
Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting,
WACV24(4248-4257)
IEEE DOI 2404
Visualization, Solid modeling, Systematics, Production, Manuals, Algorithms, Computational photography, image and video synthesis, 3D computer vision BibRef

Li, Y.[Yanda], Huang, Z.L.[Zi-Long], Yu, G.[Gang], Chen, L.[Ling], Wei, Y.C.[Yun-Chao], Jiao, J.B.[Jian-Bo],
Disentangled Pre-training for Image Matting,
WACV24(168-177)
IEEE DOI Code:
WWW Link. 2404
Training, Annotations, Computer architecture, Robustness, Task analysis, Algorithms, Low-level and physics-based vision, Image recognition and understanding BibRef

Zhong, Y.[Yatao], Zharkov, I.[Ilya],
Lightweight Portrait Matting via Regional Attention and Refinement,
WACV24(4146-4155)
IEEE DOI 2404
Heart, Estimation, Benchmark testing, Transformers, Real-time systems, Tokenization, Algorithms, Image recognition and understanding BibRef

Li, Z.[Ziwen], Xu, B.[Bo], Xie, J.[Jiake], Tang, Y.[Yong], Lu, C.[Cheng],
SDNet: An Extremely Efficient Portrait Matting Model via Self-Distillation,
WACV24(5613-5622)
IEEE DOI 2404
Training, Performance evaluation, Adaptation models, Fuses, Computational modeling, Pipelines, Algorithms, Image recognition and understanding BibRef

Li, J.C.[Jia-Chen], Henschel, R.[Roberto], Goel, V.[Vidit], Ohanyan, M.[Marianna], Navasardyan, S.[Shant], Shi, H.[Humphrey],
Video Instance Matting,
WACV24(6654-6663)
IEEE DOI Code:
WWW Link. 2404
Measurement, Instance segmentation, Video sequences, Neural networks, Benchmark testing, Task analysis, Algorithms, Video recognition and understanding BibRef

Li, J.C.[Jia-Chen], Goel, V.[Vidit], Ohanyan, M.[Marianna], Navasardyan, S.[Shant], Wei, Y.C.[Yun-Chao], Shi, H.[Humphrey],
VMFormer: End-to-End Video Matting with Transformer,
WACV24(6664-6673)
IEEE DOI Code:
WWW Link. 2404
Industries, Computational modeling, Video sequences, Predictive models, Benchmark testing, Transformers, Video recognition and understanding BibRef

Lin, G.[Geng], Gao, C.[Chen], Huang, J.B.[Jia-Bin], Kim, C.[Changil], Wang, Y.P.[Yi-Peng], Zwicker, M.[Matthias], Saraf, A.[Ayush],
OmnimatteRF: Robust Omnimatte with 3D Background Modeling,
ICCV23(23414-23423)
IEEE DOI 2401
BibRef

Liu, X.Y.[Xiao-Yu], Liu, M.[Ming], Li, J.[Junyi], Liu, S.[Shuai], Wang, X.T.[Xiao-Tao], Lei, L.[Lei], Zuo, W.M.[Wang-Meng],
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition,
ICCV23(12977-12986)
IEEE DOI Code:
WWW Link. 2401
BibRef

Baldrati, A.[Alberto], Agnolucci, L.[Lorenzo], Bertini, M.[Marco], del Bimbo, A.[Alberto],
Zero-Shot Composed Image Retrieval with Textual Inversion,
ICCV23(15292-15301)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lu, S.L.[Shi-Lin], Liu, Y.Z.[Yan-Zhu], Kong, A.W.K.[Adams Wai-Kin],
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition,
ICCV23(2294-2305)
IEEE DOI Code:
WWW Link. 2401
BibRef

Park, K.Y.[Kwan-Yong], Woo, S.[Sanghyun], Oh, S.W.[Seoung Wug], Kweon, I.S.[In So], Lee, J.Y.[Joon-Young],
Mask-Guided Matting in the Wild,
CVPR23(1992-2001)
IEEE DOI 2309
BibRef

Lin, C.C.[Chung-Ching], Wang, J.[Jiang], Luo, K.[Kun], Lin, K.[Kevin], Li, L.J.[Lin-Jie], Wang, L.J.[Li-Juan], Liu, Z.C.[Zi-Cheng],
Adaptive Human Matting for Dynamic Videos,
CVPR23(10229-10238)
IEEE DOI 2309
BibRef

Sun, Y.[Yanan], Tang, C.K.[Chi-Keung], Tai, Y.W.[Yu-Wing],
Ultrahigh Resolution Image/Video Matting with Spatio-Temporal Sparsity,
CVPR23(14112-14121)
IEEE DOI 2309
BibRef

Huang, W.L.[Wei-Lun], Lee, M.S.[Ming-Sui],
End-to-end Video Matting with Trimap Propagation,
CVPR23(14337-14347)
IEEE DOI 2309
BibRef

Li, J.Z.Z.[Ji-Zhi-Zi], Zhang, J.[Jing], Tao, D.C.[Da-Cheng],
Referring Image Matting,
CVPR23(22448-22457)
IEEE DOI 2309
BibRef

Li, J.C.[Jia-Chen], Ohanyan, M.[Marianna], Goel, V.[Vidit], Navasardyan, S.[Shant], Wei, Y.C.[Yun-Chao], Shi, H.[Humphrey],
VideoMatt: A Simple Baseline for Accessible Real-Time Video Matting,
MobileAI23(2177-2186)
IEEE DOI 2309
BibRef

Bungert, P.[Paul], Peter, P.[Pascal], Weickert, J.[Joachim],
Image Blending with Osmosis,
SSVM23(652-664).
Springer DOI 2307
BibRef

Yoon, D.[Donggeun], Park, J.[Jinsun], Cho, D.[Donghyeon],
Lightweight Alpha Matting Network Using Distillation-based Channel Pruning,
ACCV22(III:103-119).
Springer DOI 2307
BibRef

Chen, X.G.[Xiang-Guang], Zhu, Y.[Ye], Li, Y.[Yu], Fu, B.T.[Bing-Tao], Sun, L.[Lei], Shan, Y.[Ying], Liu, S.[Shan],
Robust Human Matting via Semantic Guidance,
ACCV22(II:613-628).
Springer DOI 2307
BibRef

Kang, Z.X.[Zhao-Xiang], Li, Z.[Zonglin], Liu, Q.L.[Qing-Lin], Zhu, Y.[Yuhe], Zhou, H.F.[Hong-Fei], Zhang, S.P.[Sheng-Ping],
Lightweight Image Matting via Efficient Non-local Guidance,
ACCV22(II:238-255).
Springer DOI 2307
BibRef

Wang, Y.[Yumeng], Xu, B.[Bo], Li, Z.[Ziwen], Huang, H.[Han], Lu, C.[Cheng], Guo, Y.D.[Yan-Dong],
Video Object Matting via Hierarchical Space-Time Semantic Guidance,
WACV23(5109-5118)
IEEE DOI 2302
Adaptation models, Analytical models, Correlation, Computational modeling, Semantics BibRef

Zhou, S.Y.[Si-Yuan], Liu, L.[Liu], Niu, L.[Li], Zhang, L.Q.[Li-Qing],
Learning Object Placement via Dual-Path Graph Completion,
ECCV22(XVII:373-389).
Springer DOI 2211
BibRef

Seong, H.[Hongje], Oh, S.W.[Seoung Wug], Price, B.[Brian], Kim, E.T.[Eun-Tai], Lee, J.Y.[Joon-Young],
One-Trimap Video Matting,
ECCV22(XXIX:430-448).
Springer DOI 2211
BibRef

Wang, Z.K.[Zhi-Kun], Liu, Y.[Yang], Li, Z.L.[Zong-Lin], Wang, C.Y.[Chen-Yang], Zhang, S.P.[Sheng-Ping],
Natural Image Matting with Shifted Window Self-Attention,
ICIP22(2911-2915)
IEEE DOI 2211
Hair, Deep learning, Feathers, Image resolution, Feature extraction, Transformers, Image Matting, Transformer, Shifted Window Attention, Pyramid Pooling BibRef

Yu, J.H.[Jia-Hao], Chen, L.[Li], Zhang, M.[Mingrui], Li, M.[Mading],
SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage,
CVPR22(3719-3728)
IEEE DOI 2210
Visualization, Computational modeling, Layout, Memory management, Probabilistic logic, Generators, Probability distribution BibRef

Dai, Y.T.[Yu-Tong], Price, B.[Brian], Zhang, H.[He], Shen, C.H.[Chun-Hua],
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation,
CVPR22(11697-11706)
IEEE DOI 2210
Training, Visualization, Fitting, Focusing, Benchmark testing, Transformers, Robustness, Segmentation, Low-level vision BibRef

Yaman, D.[Dogucan], Ekenel, H.K.[Hazim Kemal], Waibel, A.[Alexander],
Alpha Matte Generation from Single Input for Portrait Matting,
NTIRE22(695-704)
IEEE DOI 2210
Training, Image segmentation, Privacy, Diversity reception, Human-robot interaction, Encoding, Loss measurement BibRef

Park, G.[GyuTae], Son, S.[SungJoon], Yoo, J.[JaeYoung], Kim, S.[SeHo], Kwak, N.[Nojun],
MatteFormer: Transformer-Based Image Matting via Prior-Tokens,
CVPR22(11686-11696)
IEEE DOI 2210
Analytical models, Codes, Shape, Computational modeling, Transformers, grouping and shape analysis, Segmentation BibRef

Sun, Y.[Yanan], Tang, C.K.[Chi-Keung], Tai, Y.W.[Yu-Wing],
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement,
CVPR22(2637-2646)
IEEE DOI 2210
Measurement, Shape, Image color analysis, Semantics, Benchmark testing, Predictive models, Segmentation, Vision + graphics BibRef

Liu, Y.H.[Yu-Hao], Xie, J.K.[Jia-Ke], Shi, X.[Xiao], Qiao, Y.[Yu], Huang, Y.J.[Yu-Jie], Tang, Y.[Yong], Yang, X.[Xin],
Tripartite Information Mining and Integration for Image Matting,
ICCV21(7535-7544)
IEEE DOI 2203
Training, Transforms, Convolutional neural networks, Optimization, Segmentation, grouping and shape, Image and video synthesis BibRef

Jampani, V.[Varun], Chang, H.[Huiwen], Sargent, K.[Kyle], Kar, A.[Abhishek], Tucker, R.[Richard], Krainin, M.[Michael], Kaeser, D.[Dominik], Freeman, W.T.[William T.], Salesin, D.[David], Curless, B.[Brian], Liu, C.[Ce],
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting,
ICCV21(12498-12507)
IEEE DOI 2203
Photography, Training, Solid modeling, Image segmentation, Runtime, 3D from a single image and shape-from-x, Computational photography BibRef

Horita, D.[Daichi], Aizawa, K.[Kiyoharu], Suzuki, R.[Ryohei], Yonetsuji, T.[Taizan], Zhu, H.C.[Hua-Chun],
Fast Nonlinear Image Unblending,
WACV22(3193-3201)
IEEE DOI 2202
Get image layers so that combining will work. Image color analysis, Computational modeling, Visual effects, Iterative methods, Image reconstruction, Vision Systems and Applications BibRef

Lin, S.C.[Shan-Chuan], Yang, L.J.[Lin-Jie], Saleemi, I.[Imran], Sengupta, S.[Soumyadip],
Robust High-Resolution Video Matting with Temporal Guidance,
WACV22(3132-3141)
IEEE DOI 2202
Training, Image segmentation, Computational modeling, Semantics, Graphics processing units, Vision for Graphics BibRef

Taniguchi, M.[Masaki], Tezuka, T.[Taro],
Automatic Trimap Generation by a Multimodal Neural Network,
ICIP21(2768-2772)
IEEE DOI 2201
Image processing, Neural networks, Task analysis, alpha matting, saliency map, trimap BibRef

Yu, Q.H.[Qi-Hang], Zhang, J.M.[Jian-Ming], Zhang, H.[He], Wang, Y.L.[Yi-Lin], Lin, Z.[Zhe], Xu, N.[Ning], Bai, Y.T.[Yu-Tong], Yuille, A.L.[Alan L.],
Mask Guided Matting via Progressive Refinement Network,
CVPR21(1154-1163)
IEEE DOI 2111
Training, Image segmentation, Image color analysis, Computational modeling, Perturbation methods, Pipelines, Rendering (computer graphics) BibRef

Dai, Y.T.[Yu-Tong], Lu, H.[Hao], Shen, C.H.[Chun-Hua],
Learning Affinity-Aware Upsampling for Deep Image Matting*,
CVPR21(6837-6846)
IEEE DOI 2111
Measurement, Computational modeling, Buildings, Toy manufacturing industry, Predictive models, Pattern recognition BibRef

Sun, Y.[Yanan], Wang, G.Z.[Guan-Zhi], Gu, Q.[Qiao], Tang, C.K.[Chi-Keung], Tai, Y.W.[Yu-Wing],
Deep Video Matting via Spatio-Temporal Alignment and Aggregation,
CVPR21(6971-6980)
IEEE DOI 2111
Deep learning, Annotations, Estimation, Coherence, Predictive models, Cognition BibRef

Sun, Y.[Yanan], Tang, C.K.[Chi-Keung], Tai, Y.W.[Yu-Wing],
Semantic Image Matting,
CVPR21(11115-11124)
IEEE DOI 2111
Hair, Codes, Semantics, Benchmark testing, Data mining, Optimization BibRef

Lin, S.[Shanchuan], Ryabtsev, A.[Andrey], Sengupta, S.[Soumyadip], Curless, B.[Brian], Seitz, S.M.[Steve M.], Kemelmacher-Shlizerman, I.[Ira],
Real-Time High-Resolution Background Matting,
CVPR21(8758-8767)
IEEE DOI 2111
Hair, Privacy, Image resolution, Image recognition, Neural networks, Graphics processing units, Watermarking BibRef

Kang, P.[Peng], Zhang, J.P.[Jian-Ping], Ma, C.[Chen], Sun, G.L.[Gui-Ling],
ATM: Attentional Text Matting,
WACV21(3901-3910)
IEEE DOI 2106
Annotations, Pipelines, Task analysis BibRef

Liu, C.[Chang], Ding, H.H.[Heng-Hui], Jiang, X.D.[Xu-Dong],
Towards Enhancing Fine-grained Details for Image Matting,
WACV21(385-393)
IEEE DOI 2106
Measurement, Hair, Fuses, Microscopy, Image edge detection, Semantics BibRef

Qiao, Y., Liu, Y., Yang, X., Zhou, D., Xu, M., Zhang, Q., Wei, X.,
Attention-Guided Hierarchical Structure Aggregation for Image Matting,
CVPR20(13673-13682)
IEEE DOI 2008
Semantics, Feature extraction, Image color analysis, Image texture, Training, Machine learning, Mean square error methods BibRef

Sengupta, S., Jayaram, V., Curless, B., Seitz, S.M., Kemelmacher-Shlizerman, I.,
Background Matting: The World Is Your Green Screen,
CVPR20(2288-2297)
IEEE DOI 2008
Videos, Image color analysis, Cameras, Image segmentation, Training, Switches, Motion segmentation BibRef

Liu, J., Yao, Y., Hou, W., Cui, M., Xie, X., Zhang, C., Hua, X.,
Boosting Semantic Human Matting With Coarse Annotations,
CVPR20(8560-8569)
IEEE DOI 2008
Semantics, Image segmentation, Task analysis, Hair, Training, Image color analysis, Pipelines BibRef

Lu, H., Dai, Y., Shen, C., Xu, S.,
Indices Matter: Learning to Index for Deep Image Matting,
ICCV19(3265-3274)
IEEE DOI 2004
Code, Matting.
WWW Link. convolutional neural nets, decoding, feature extraction, image colour analysis, image enhancement, image sampling, Deconvolution BibRef

Hou, Q., Liu, F.,
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation,
ICCV19(4129-4138)
IEEE DOI 2004
feature extraction, generalisation (artificial intelligence), Machine learning BibRef

Cai, S., Zhang, X., Fan, H., Huang, H., Liu, J., Liu, J., Liu, J., Wang, J., Sun, J.,
Disentangled Image Matting,
ICCV19(8818-8827)
IEEE DOI 2004
convolutional neural nets, feature extraction, image classification, image colour analysis, image segmentation, Image segmentation BibRef

Zhang, Y.K.[Yun-Ke], Gong, L.X.[Li-Xue], Fan, L.B.[Lu-Bin], Ren, P.R.[Pei-Ran], Huang, Q.X.[Qi-Xing], Bao, H.J.[Hu-Jun], Xu, W.W.[Wei-Wei],
A Late Fusion CNN for Digital Matting,
CVPR19(7461-7470).
IEEE DOI 2002
BibRef

Tang, J.W.[Jing-Wei], Aksoy, Y.[Yagiz], Oztireli, C.[Cengiz], Gross, M.[Markus], Aydin, T.O.[Tunc Ozan],
Learning-Based Sampling for Natural Image Matting,
CVPR19(3050-3058).
IEEE DOI 2002
BibRef

Tang, H., Huang, Y., Jing, M., Fan, Y., Zeng, X.,
Very Deep Residual Network for Image Matting,
ICIP19(4255-4259)
IEEE DOI 1910
Matting, Residual Network, EDNs, DCNNs, FCNs BibRef

Orrite, C., Varona, M.A., Estopiñán, E., Beltrán, J.R.,
Portrait Segmentation by Deep Refinement of Image Matting,
ICIP19(1495-1499)
IEEE DOI 1910
portrait, FCNs, trimap, matting BibRef

Hu, G., Clark, J.,
Instance Segmentation Based Semantic Matting for Compositing Applications,
CRV19(135-142)
IEEE DOI 1908
Image segmentation, Semantics, Object segmentation, Pipelines, Task analysis, Learning systems, Estimation, compositing, instance segmentation BibRef

Zeng, W.L.[Wen-Liang], Liu, J.[Ji],
A Hierarchical Level Set Approach to for RGBD Image Matting,
MMMod19(I:628-639).
Springer DOI 1901
BibRef

Chen, Y.[Yibo], Zhao, T.L.[Tian-Le], Cham, W.K.[Wai-Kuen],
Unsupervised segmentation of low depth of field images based on L0 regularized matting model,
ICIP17(3310-3314)
IEEE DOI 1803
Fourier transforms, Image edge detection, Image segmentation, Indexes, Kernel, Optimization, Robustness, Image Segmentation, L0 norm, Object of Interest BibRef

Zhou, J.S.[Jian-She], Naren, T.[Tuya], Chen, X.Y.[Xian-Yu], Ma, Y.[Yike], Liu, J.[Jie], Dai, F.[Feng],
Light Field Foreground Matting Based on Defocus and Correspondence,
MMMod18(I:317-328).
Springer DOI 1802
BibRef

Aksoy, Y., Aydin, T.O., Pollefeys, M.,
Designing Effective Inter-Pixel Information Flow for Natural Image Matting,
CVPR17(228-236)
IEEE DOI 1711
Color, Correlation, Image color analysis, Linear systems, Measurement, Minimization, Robustness BibRef

Liu, C., Narasimhan, S.G., Dubrawski, A.W.,
Matting and Depth Recovery of Thin Structures Using a Focal Stack,
CVPR17(4782-4790)
IEEE DOI 1711
Analytical models, Apertures, Computational modeling, Image reconstruction, Indexes, Kernel, BibRef

Li, X.Q.[Xiao-Qiang], Cui, Q.[Qing],
Parallel Accelerated Matting Method Based on Local Learning,
ACCV16(I: 152-162).
Springer DOI 1704
BibRef

Shen, X.Y.[Xiao-Yong], Tao, X.[Xin], Gao, H.Y.[Hong-Yun], Zhou, C.[Chao], Jia, J.Y.[Jia-Ya],
Deep Automatic Portrait Matting,
ECCV16(I: 92-107).
Springer DOI 1611
BibRef

Feng, X.X.[Xiao-Xue], Liang, X.H.[Xiao-Hui], Zhang, Z.L.[Zi-Li],
A Cluster Sampling Method for Image Matting via Sparse Coding,
ECCV16(II: 204-219).
Springer DOI 1611
BibRef

Zhao, Y.[Ying], Chen, C.[Chao], Liu, L.Y.[Li-Yan], Wang, W.[Wei],
Automatic Matting Using Depth and Adaptive Trimap,
RV15(179-191).
Springer DOI 1603
BibRef

Qian, Y.M.[Yi-Ming], Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Frequency-Based Environment Matting by Compressive Sensing,
ICCV15(3532-3540)
IEEE DOI 1602
Compressed sensing BibRef

Erofeev, M.[Mikhail], Gitman, Y.[Yury], Vatolin, D.[Dmitriy], Fedorov, A.[Alexey], Wang, J.[Jue],
Perceptually Motivated Benchmark for Video Matting,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Fiss, J.[Juliet], Curless, B.[Brian], Szeliski, R.S.[Richard S.],
Light field layer matting,
CVPR15(623-631)
IEEE DOI 1510
BibRef

Yang, H.Y.[Hai-Yan], Au, O.C.[Oscar C.], Yuan, Y.[Yuan], Sun, W.X.[Wen-Xiu], Ling, Y.G.[Yong-Gen], Pang, J.H.[Jia-Hao],
Natural image matting via adaptive local and nonlocal sample clustering,
ICIP14(3322-3326)
IEEE DOI 1502
Closed-form solutions BibRef

Tierney, S., Gao, J.B.[Jun-Bin], Guo, Y.[Yi],
The W-Penalty and Its Application to Alpha Matting with Sparse Labels,
DICTA14(1-7)
IEEE DOI 1502
image processing BibRef

Zhou, H.[Hui], Ahonen, T.[Timo],
Automatic defocus spectral matting,
ICIP14(4328-4332)
IEEE DOI 1502
Algorithm design and analysis BibRef

Chican, G.[Guillaume], Tamaazousti, M.[Mohamed],
Constrained PatchMatch for Image Completion,
ISVC14(I: 560-568).
Springer DOI 1501
BibRef

Tseng, C.Y.[Chen-Yu], Wang, S.J.[Sheng-Jyh],
Learning-Based Hierarchical Graph for Unsupervised Matting and Foreground Estimation,
IP(23), No. 12, December 2014, pp. 4941-4953.
IEEE DOI 1402
feature extraction BibRef

Wang, T.H.[Ting-Huai], Collomosse, J.P.[John P.], Hilton, A.[Adrian],
Wide Baseline Multi-view Video Matting Using a Hybrid Markov Random Field,
ICPR14(136-141)
IEEE DOI 1412
Cameras BibRef

Myeong, H.[Heesoo], Lin, S.[Stephen], Lee, K.M.[Kyoung Mu],
Alpha Matting of Motion-Blurred Objects in Bracket Sequence Images,
ECCV14(III: 125-139).
Springer DOI 1408
BibRef

Cheng, J.[Jun], Miao, Z.J.[Zhen-Jiang],
Improving Sampling Criterion for Alpha Matting,
ACPR13(803-807)
IEEE DOI 1408
feature extraction BibRef

Isola, P.[Phillip], Liu, C.[Ce],
Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers,
ICCV13(3048-3055)
IEEE DOI 1403
BibRef

Choi, I.[Inchang], Kim, S.[Sunyeong], Brown, M.S.[Michael S.], Tai, Y.W.[Yu-Wing],
A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting,
ICCV13(2880-2887)
IEEE DOI 1403
Jpeg Deblocking; Learning; Matting BibRef

He, B.[Bei], Wang, G.J.[Gui-Jin], Shi, C.[Chenbo], Yin, X.W.[Xuan-Wu], Liu, B.[Bo], Lin, X.G.[Xing-Gang],
Iterative transductive learning for alpha matting,
ICIP13(4282-4286)
IEEE DOI 1402
asymmetric Laplacian matrix BibRef

Kohler, R.[Rolf], Hirsch, M.[Michael], Scholkopf, B.[Bernhard], Harmeling, S.[Stefan],
Improving alpha matting and motion blurred foreground estimation,
ICIP13(3446-3450)
IEEE DOI 1402
alpha matting;foreground estimation;motion blur BibRef

Jin, M.G.[Mei-Guang], Kim, B.K.[Byoung-Kwang], Song, W.J.[Woo-Jin],
KNN-based color line model for image matting,
ICIP13(2480-2483)
IEEE DOI 1402
alpha mattes; local smoothness; nonlocal principle BibRef

Kim, J.[Jaehwan], Jeong, I.[Ilkwon],
Normalized Matting of Interest Region,
ISVC13(II:446-453).
Springer DOI 1311
BibRef

Chen, X.W.[Xiao-Wu], Zou, D.Q.[Dong-Qing], Zhou, S.Z.Y.[Steven Zhi-Ying], Zhao, Q.P.[Qin-Ping], Tan, P.[Ping],
Image Matting with Local and Nonlocal Smooth Priors,
CVPR13(1902-1907)
IEEE DOI 1309
Image matting; local and nonlocal smooth priors BibRef

Shahrian, E.[Ehsan], Rajan, D.[Deepu], Price, B.L.[Brian L.], Cohen, S.[Scott],
Improving Image Matting Using Comprehensive Sampling Sets,
CVPR13(636-643)
IEEE DOI 1309
Comprehensive sampling; Image matting BibRef

Greco, L.[Luca], La Cascia, M.[Marco],
Saliency Based Aesthetic Cut of Digital Images,
CIAP13(II:151-160).
Springer DOI 1309
cutting parts of images out BibRef

Sindeev, M.[Mikhail], Konushin, A.[Anton], Rother, C.[Carsten],
Alpha-Flow for Video Matting,
ACCV12(III:438-452).
Springer DOI 1304
BibRef

Tierney, S., Bull, G., Gao, J.B.[Jun-Bin],
Image Matting for Sparse User Input by Iterative Refinement,
DICTA13(1-7)
IEEE DOI 1402
BibRef
Earlier: A1, A3, Only:
Natural Image Matting with Total Variation Regularisation,
DICTA12(1-8).
IEEE DOI 1303
feature extraction BibRef

Lu, T.[Ting], Li, S.T.[Shu-Tao],
Image matting with color and depth information,
ICPR12(3787-3790).
WWW Link. 1302
BibRef

Park, J.[Jaesik], Lee, J.Y.[Joon-Young], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In So],
Modeling photo composition and its application to photo re-arrangement,
ICIP12(2741-2744).
IEEE DOI 1302
BibRef

Tseng, C.Y.[Chen-Yu], Wang, S.J.[Sheng-Jyh],
A cell-based matting Laplacian for contrast enhancement,
ICIP12(945-948).
IEEE DOI 1302
BibRef

Zhang, Z.P.[Zhan-Peng], Zhu, Q.S.[Qing-Song], Xie, Y.Q.[Yao-Qin],
Learning based alpha matting using support vector regression,
ICIP12(2109-2112).
IEEE DOI 1302
BibRef

Choi, I.[Inchang], Lee, M.[Minhaeng], Tai, Y.W.[Yu-Wing],
Video Matting Using Multi-frame Nonlocal Matting Laplacian,
ECCV12(VI: 540-553).
Springer DOI 1210
BibRef

Yoon, S.M.[Sang Min], Yoon, G.J.[Gang-Joon],
Compressive Matting,
ISVC12(II: 145-154).
Springer DOI 1209
BibRef

Bentabet, L.[Layachi], Zhang, H.[Hui],
Bayesian Image Matting Using Infrared and Color Cues,
ICISP12(1-8).
Springer DOI 1208
BibRef

Gao, J.B.[Jun-Bin],
Image Matting via Local Tangent Space Alignment,
DICTA11(614-619).
IEEE DOI 1205
BibRef

Zhu, J., Lu, G., Zhang, D.,
GrowMatting: A GPU-based real-time interactive method for image matting,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Yu, T.[Ting], Liu, X.M.[Xiao-Ming], Lim, S.[Sernam], Krahnstoever, N.O.[Nils O.], Tu, P.H.[Peter H.],
Automatic surveillance video matting using a shape prior,
VS11(1761-1768).
IEEE DOI 1201
BibRef

Zhou, X.Z.[Xiao-Zhou], Boulanger, P.[Pierre],
Image matting based on mutual information,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Taniai, T.[Tatsunori], Pham, V.Q.[Viet-Quoc], Takahashi, K.[Keita], Naemura, T.[Takeshi],
Image Segmentation using Dual Distribution Matching,
BMVC12(74).
DOI Link 1301
BibRef

Pham, V.Q.[Viet-Quoc], Takahashi, K.[Keita], Naemura, T.[Takeshi],
Foreground-background segmentation using iterated distribution matching,
CVPR11(2113-2120).
IEEE DOI 1106
BibRef
Earlier:
Real-Time Video Matting Based on Bilayer Segmentation,
ACCV09(II: 489-501).
Springer DOI 0909
BibRef

Pham, V.Q.[Viet-Quoc], Takahashi, K.[Keita], Naemura, T.[Takeshi],
Live Video Segmentation in Dynamic Backgrounds Using Thermal Vision,
PSIVT09(143-154).
Springer DOI 0901
BibRef

Wang, J.[Jue],
Image Matting with Transductive Inference,
MIRAGE11(239-250).
Springer DOI 1110
BibRef

Bai, X.[Xue], Wang, J.[Jue], Simons, D.[David],
Towards Temporally-Coherent Video Matting,
MIRAGE11(63-74).
Springer DOI 1110
BibRef

Bai, X.[Xue], Wang, J.[Jue], Sapiro, G.[Guillermo],
Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video,
ECCV10(V: 617-630).
Springer DOI 1009
BibRef

He, K.[Kaiming], Rhemann, C.[Christoph], Rother, C.[Carsten], Tang, X.[Xiaoou], Sun, J.[Jian],
A global sampling method for alpha matting,
CVPR11(2049-2056).
IEEE DOI 1106
BibRef

Cho, J.H.[Ji-Ho], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu], Lee, K.H.[Kwan H.],
Depth video camera based temporal alpha matting for natural 3D scene generation,
3DTV11(1-4).
IEEE DOI 1105
BibRef

Park, Y.J.[Young-Jin], Yoo, S.I.[Suk I.],
A Convex Image Segmentation: Extending Graph Cuts and Closed-Form Matting,
ACCV10(III: 355-368).
Springer DOI 1011
BibRef

Zhu, J.[Jun], Zhang, D.S.[Deng-Sheng], Lu, G.J.[Guo-Jun],
An Enhancement to Closed-Form Method for Natural Image Matting,
DICTA10(629-634).
IEEE DOI 1012
BibRef

Gu, Y.Y.[Yi-Yang], Jin, C.[Cheng], Xue, X.Y.[Xiang-Yang],
Quick matting: A matting method based on pixel spread and propagation,
ICIP10(4661-4664).
IEEE DOI 1009
BibRef

Lee, P.G.[Philip Greggory], Wu, Y.[Ying],
Nonlocal matting,
CVPR11(2193-2200).
IEEE DOI 1106
BibRef
Earlier:
L1 matting,
ICIP10(4665-4668).
IEEE DOI 1009
BibRef

Pitie, F., Kokaram, A.,
Matting with a depth map,
ICIP10(21-24).
IEEE DOI 1009
BibRef

Price, B.L.[Brian L.], Morse, B.S.[Bryan S.], Cohen, S.[Scott],
Simultaneous foreground, background, and alpha estimation for image matting,
CVPR10(2157-2164).
IEEE DOI 1006
BibRef

Li, Y.L.[Yan-Li], Zhou, Z.[Zhong], Wu, W.[Wei],
Interactive Video Layer Decomposition and Matting,
CVMAR10(52-61).
Springer DOI 1109
BibRef

Sarim, M.[Muhammad], Hilton, A.[Adrian], Guillemaut, J.Y.[Jean-Yves], Takai, T.[Takeshi], Kim, H.S.[Han-Sung],
Natural image matting for multiple wide-baseline views,
ICIP10(2233-2236).
IEEE DOI 1009

See also Outdoor Dynamic 3-D Scene Reconstruction. BibRef

Sarim, M.[Muhammad], Hilton, A.[Adrian], Guillemaut, J.Y.[Jean-Yves], Kim, H.S.[Han-Sung],
Non-parametric natural image matting,
ICIP09(3213-3216).
IEEE DOI 0911
BibRef

Sarim, M.[Muhammad], Hilton, A.[Adrian], Guillemaut, J.Y.[Jean-Yves],
Temporal trimap propagation for video matting using inferential statistics,
ICIP11(1745-1748).
IEEE DOI 1201
BibRef
Earlier:
Non-parametric patch based video matting,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Guillemaut, J.Y.[Jean-Yves], Hilton, A.[Adrian], Starck, J., Kilner, J., Grau, O.,
A Bayesian Framework for Simultaneous Matting and 3D Reconstruction,
3DIM07(167-176).
IEEE DOI 0708
BibRef

Zheng, Y.J.[Yuan-Jie], Kambhamettu, C.[Chandra],
Learning based digital matting,
ICCV09(889-896).
IEEE DOI 0909
To handle nonlinear color variations. BibRef

Zheng, Y.J.[Yuan-Jie], Kambhamettu, C.[Chandra], Yu, J.Y.[Jing-Yi], Bauer, T.[Thomas], Steiner, K.[Karl],
FuzzyMatte: A computationally efficient scheme for interactive matting,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Stein, A.N.[Andrew N.], Stepleton, T.S.[Thomas S.], Hebert, M.[Martial],
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Hyun, M.H.[Myung-Han], Kim, S.Y.[Sung-Yeol], Ho, Y.S.[Yo-Sung],
Multi-View Image Matting and Compositing Using Trimap Sharing for Natural 3-D Scene Generation,
3DTV08(397-400).
IEEE DOI 0805
BibRef

Ruchanurucks, M.[Miti], Ogawara, K.[Koichi], Ikeuchi, K.[Katsushi],
Integrating region growing and classification for segmentation and matting,
ICIP08(593-596).
IEEE DOI 0810
BibRef

Won, K.H.[Kwang Hee], Park, S.Y.[Soon-Yong], Jung, S.K.[Soon Ki],
Natural Image Matting Based on Neighbor Embedding,
MIRAGE07(449-460).
Springer DOI 0703
BibRef

Du, W.W.[Wei-Wei], Urahama, K.[Kiichi],
Image and Video Matting with Membership Propagation,
ACCV07(II: 590-600).
Springer DOI 0711
BibRef

Dupont, J., Deschenes, F.,
Toward a Realistic Interpretation of Blue-spill for Blue-screen Matting,
CRV06(33-33).
IEEE DOI 0607
BibRef

Chang, H.[Hang], Yang, Q.[Qing], Pan, C.H.[Chun-Hong],
An Iterative Bayesian Approach for Digital Matting,
ICPR06(II: 122-125).
IEEE DOI 0609
BibRef

Apostoloff, N., Fitzgibbon, A.W.,
Automatic video segmentation using spatiotemporal T-junctions,
BMVC06(III:1089).
PDF File. 0609
BibRef
Earlier:
Bayesian video matting using learnt image priors,
CVPR04(I: 407-414).
IEEE DOI 0408
BibRef

Xiao, J.J.[Jiang-Jian], Shah, M.[Mubarak],
Accurate Motion Layer Segmentation and Matting,
CVPR05(II: 698-703).
IEEE DOI 0507
BibRef

Kun, W.[Wang], Zheng, N.N.[Nan-Ning], Liu, W.X.[Wei-Xiang],
Natural Image Matting with Non-Negative Matrix Factorization,
ICIP05(II: 1186-1189).
IEEE DOI 0512
BibRef

Chuang, Y.Y.[Yung-Yu], Curless, B.[Brian], Salesin, D.H.[David H.], Szeliski, R.S.[Richard S.],
A Bayesian Approach to Digital Matting,
CVPR01(II:264-271).
IEEE DOI 0110
Extract foreground by estimating opacity of each pixel. Compare to Ruzon and Tomasi (
See also Alpha Estimation in Natural Images. ). BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Inpainting, Filling Holes, Fixing Problems .