19.4.3.14 Super Resolution for Face Images, Facial Image Super Resolution

Chapter Contents (Back)
Super Resolution. Face Images. Face Super Resolution. More the recognition.
See also Face Recognition at a Distance, In the wild, In-the-Wild, Low Resolution Faces.

Stephenson, T.A.[Todd A.], Chen, T.H.[Tsu-Han],
Adaptive Markov Random Fields for Example-Based Super-resolution of Faces,
JASP(2006), 2006, pp. 1-11.
WWW Link. 0603
BibRef

Jia, K.[Kui], Gong, S.G.[Shao-Gang],
Hallucinating multiple occluded face images of different resolutions,
PRL(27), No. 15, November 2006, pp. 1768-1775.
Elsevier DOI 0609
BibRef
Earlier:
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition,
ICCV05(II: 1683-1690).
IEEE DOI 0510
BibRef
And:
Multi-Modal Face Image Super-Resolutions in Tensor Space,
BMVC05(xx-yy).
HTML Version. 0509
BibRef
And: AVSBS05(264-269).
IEEE DOI 0602
BibRef
And:
Face super-resolution using multiple occluded images of different resolutions,
AVSBS05(614-619).
IEEE DOI 0602
Super-resolution (Hallucination), Bayesian framework, Image alignment BibRef

Jia, K.[Kui], Gong, S.G.[Shao-Gang],
Generalized Face Super-Resolution,
IP(17), No. 6, June 2008, pp. 873-886.
IEEE DOI 0711
BibRef

Jia, K.[Kui], Gong, S.G.[Shao-Gang], Leung, A.P.,
Coupling Face Registration and Super-Resolution,
BMVC06(II:449).
PDF File. 0609
BibRef

Lin, Z.C.[Zhou-Chen], He, J.F.[Jun-Feng], Tang, X.O.[Xiao-Ou], Tang, C.K.[Chi-Keung],
Limits of Learning-Based Superresolution Algorithms,
IJCV(80), No. 3, December 2008, pp. xx-yy.
Springer DOI 0810
BibRef
Earlier: ICCV07(1-8).
IEEE DOI 0710
BibRef

Lin, D.[Dahua], Liu, W.[Wei], Tang, X.O.[Xiao-Ou],
Layered Local Prediction Network with Dynamic Learning for Face Super-resolution,
ICIP05(I: 885-888).
IEEE DOI 0512
BibRef

Li, X.G.[Xiao-Guang], Lam, K.M.[Kin Man], Qiu, G.P.[Guo-Ping], Shen, L.S.[Lan-Sun], Wang, S.[Suyu],
Example-based image super-resolution with class-specific predictors,
JVCIR(20), No. 5, July 2009, pp. 312-322.
Elsevier DOI 0905
Example-based super-resolution, Human face magnification; Content-based encoding, Class-specific predictor, Self-specific training set, Domain-specific training set, General-purpose training set, Vector quantization BibRef

Kumar, B.G.V.[B.G. Vijay], Aravind, R.,
Computationally efficient algorithm for face super-resolution using (2D)2-PCA based prior,
IET-IPR(4), No. 2, April 2010, pp. 61-69.
DOI Link 1003
BibRef
Earlier:
A 2D model for face superresolution,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Huang, H.[Hua], He, H.T.[Hui-Ting], Fan, X.[Xin], Zhang, J.P.[Jun-Ping],
Super-resolution of human face image using canonical correlation analysis,
PR(43), No. 7, July 2010, pp. 2532-2543.
Elsevier DOI 1003
Human face, Super-resolution, Canonical correlation analysis, Manifold learning, Neighbor reconstruction
See also Simple Approach to Multiview Face Hallucination, A. BibRef

Zeng, X.[Xiao], Huang, H.[Hua],
Super-Resolution Method for Multiview Face Recognition From a Single Image Per Person Using Nonlinear Mappings on Coherent Features,
SPLetters(19), No. 4, April 2012, pp. 195-198.
IEEE DOI 1203
BibRef

Huang, H., Wu, N.,
Fast Facial Image Super-Resolution via Local Linear Transformations for Resource-Limited Applications,
CirSysVideo(21), No. 10, October 2011, pp. 1363-1377.
IEEE DOI 1110
BibRef

Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.], Rahmati, M.[Mohammad],
Summarization of Surveillance Video Sequences Using Face Quality Assessment,
IJIG(11), No. 2, April 2011, pp. 207-233.
DOI Link 1107
BibRef

Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Extracting a Good Quality Frontal Face Image From a Low-Resolution Video Sequence,
CirSysVideo(21), No. 10, October 2011, pp. 1353-1362.
IEEE DOI 1110
BibRef
Earlier:
Hybrid super resolution using refined face logs,
IPTA10(435-440).
IEEE DOI 1007
BibRef

Aakerberg, A.[Andreas], El Helou, M.[Majed], Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution,
WACV24(4085-4095)
IEEE DOI Code:
DOI Link 2404
Degradation, Training, Adaptation models, Superresolution, Pipelines, Noise, Training data, Algorithms, Computational photography, Datasets and evaluations BibRef

Nasrollahi, K.[Kamal], Rahmati, M.[Mohammad], Moeslund, T.B.[Thomas B.],
A Neural Network Based Cascaded Classifier for Face Detection in Color Images with Complex Background,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Fookes, C.[Clinton], Lin, F.[Frank], Chandran, V.[Vinod], Sridharan, S.[Sridha],
Evaluation of image resolution and super-resolution on face recognition performance,
JVCIR(23), No. 1, January 2012, pp. 75-93.
Elsevier DOI 1112
Face recognition, Super-resolution, Image resolution, Evaluation framework, Surveillance, Robust optical flow, Hallucination, Principal component analysis, Eigenface, Elastic bunch graph matching BibRef

Zou, W.W.W.[Wilman W.W.], Yuen, P.C.[Pong C.],
Very Low Resolution Face Recognition Problem,
IP(21), No. 1, January 2012, pp. 327-340.
IEEE DOI 1112
BibRef
Earlier:
Learning the Relationship Between High and Low Resolution Images in Kernel Space for Face Super Resolution,
ICPR10(1152-1155).
IEEE DOI 1008
BibRef

Hui, Z.[Zhuo], Lam, K.M.[Kin-Man],
Eigentransformation-based face super-resolution in the wavelet domain,
PRL(33), No. 6, 15 April 2012, pp. 718-727.
Elsevier DOI 1203
Face super-resolution, Eigentransformation, Wavelet domain BibRef

He, J.P.[Jin-Ping], Su, G.D.[Guang-Da], Chen, J.S.[Jian-Sheng],
Super-Resolution for Facial Images Based on Local Similarity Preserving,
IEICE(E95-D), No. 3, March 2012, pp. 892-896.
WWW Link. 1203
BibRef

Zhang, D.[Di], He, J.Z.[Jia-Zhong], Du, M.H.[Ming-Hui],
Morphable model space based face super-resolution reconstruction and recognition,
IVC(30), No. 2, February 2012, pp. 100-108.
Elsevier DOI 1204
Super-resolution, Feature space, Image sequence, Image reconstruction
See also Fast MAP-based multiframe super-resolution image reconstruction. BibRef

Jian, M.[Muwei], Lam, K.M.[Kin-Man], Dong, J.Y.[Jun-Yu],
A novel face-hallucination scheme based on singular value decomposition,
PR(46), No. 11, November 2013, pp. 3091-3102.
Elsevier DOI 1306
Face hallucination, Face super-resolution, Singular value decomposition, Mapping model, Holistic constraints BibRef

Chen, S.B.[Si-Bao], Ding, C.H.Q.[Chris H.Q.], Luo, B.[Bin],
Extended linear regression for undersampled face recognition,
JVCIR(25), No. 7, 2014, pp. 1800-1809.
Elsevier DOI 1410
Linear regression BibRef

Jiang, J.J.[Jun-Jun], Hu, R.M.[Rui-Min], Wang, Z.Y.[Zhong-Yuan], Han, Z.[Zhen],
Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning,
IP(23), No. 10, October 2014, pp. 4220-4231.
IEEE DOI 1410
face recognition BibRef

Jiang, J.J.[Jun-Jun], Ma, J.Y.[Jia-Yi], Chen, C.[Chen], Wang, Z.[Zheng], Lu, T.,
Smooth sparse representation for noise robust face super-resolution,
VCIP16(1-4)
IEEE DOI 1701
Face BibRef

Zhu, Z.L.[Zhi-Liang], Guo, F.D.[Fang-Da], Yu, H.[Hai], Chen, C.[Chen],
Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation,
MultMed(16), No. 8, December 2014, pp. 2178-2190.
IEEE DOI 1502
image matching BibRef

Jiang, J.J.[Jun-Jun], Ma, J.Y.[Jia-Yi], Chen, C.[Chen], Jiang, X.W.[Xin-Wei], Wang, Z.[Zheng],
Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation,
Cyber(47), No. 11, November 2017, pp. 3991-4002.
IEEE DOI 1710
Face, Image reconstruction, Image resolution, Indexes, Surveillance, Training, fused least absolute shrinkage and selection operator (LASSO), smoothness constraint, sparse representation (SR), super-resolution BibRef

Jiang, J.J.[Jun-Jun], Chen, C.[Chen], Ma, J.Y.[Jia-Yi], Wang, Z.[Zheng], Wang, Z.Y.[Zhong-Yuan], Hu, R.M.[Rui-Min],
SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,
MultMed(19), No. 1, January 2017, pp. 27-40.
IEEE DOI 1612
Face BibRef

Guan, J.[Jian], Hu, R.M.[Rui-Min], Jiang, J.J.[Jun-Jun], Han, Z.[Zhen],
Gabor-based patch covariance matrix for face sketch synthesis,
ICIP14(4642-4646)
IEEE DOI 1502
Covariance matrices BibRef

Lu, T.[Tao], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Jiang, J.J.[Jun-Jun], Zhang, Y.D.[Yan-Duo],
From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation,
VCIP13(1-6)
IEEE DOI 1402
face recognition BibRef

Hu, J.H.[Jin-Hui], Hu, R.M.[Rui-Min], Wang, Z.Y.[Zhong-Yuan], Gong, Y.[Yan], Duan, M.[Mang],
Kinect depth map based enhancement for low light surveillance image,
ICIP13(1090-1094)
IEEE DOI 1402
Dynamic range BibRef

Huang, K.B.[Ke-Bin], Hu, R.M.[Rui-Min], Jiang, J.J.[Jun-Jun], Han, Z.[Zhen], Wang, F.[Feng],
Face Image Super-Resolution Through Improved Neighbor Embedding,
MMMod16(I: 409-420).
Springer DOI 1601
BibRef

Chen, L.[Liang], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Xia, Y.[Yang], Jiang, J.J.[Jun-Jun],
A joint learning based face hallucination approach for low quality face image,
ICIP13(972-975)
IEEE DOI 1402
Face BibRef

Jiang, J.J.[Jun-Jun], Hu, R.M.[Rui-Min], Wang, Z.Y.[Zhong-Yuan], Han, Z.[Zhen],
Noise Robust Face Hallucination via Locality-Constrained Representation,
MultMed(16), No. 5, August 2014, pp. 1268-1281.
IEEE DOI 1410
data structures BibRef

Huang, K.B.[Ke-Bin], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Lu, T.[Tao], Jiang, J.J.[Jun-Jun], Wang, F.[Feng],
Face hallucination via K-selection mean constrained sparse representation,
ICPR12(882-885).
WWW Link. 1302
BibRef

Jiang, J.J.[Jun-Jun], Yu, Y.[Yi], Tang, S.[Suhua], Ma, J.Y.[Jia-Yi], Aizawa, A.[Akiko], Aizawa, K.[Kiyoharu],
Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning,
Cyber(50), No. 1, January 2020, pp. 324-337.
IEEE DOI 1910
Face, Training, Image reconstruction, Mathematical model, Image resolution, Informatics, Indexes, Context-patch, reproducing learning (RL) BibRef

Lu, T.[Tao], Zeng, K.L.[Kang-Li], Jiang, J.J.[Jun-Jun], Zhang, Y.[Yanduo], He, W.[Wei], Wang, Z.Y.[Zhong-Yuan], Zhou, H.B.[Hua-Bing],
Face Hallucination Using Manifold-Regularized Group Locality-Constrained Representation,
ICIP18(2511-2515)
IEEE DOI 1809
Face, Image reconstruction, Manifolds, Dictionaries, Image resolution, Databases, Training, Face hallucination, Locality-constrained representation BibRef

Lu, T., Wang, H., Xiong, Z., Jiang, J.J., Zhang, Y., Zhou, H., Wang, Z.,
Face hallucination using region-based deep convolutional networks,
ICIP17(1657-1661)
IEEE DOI 1803
Databases, Face, Feature extraction, Image reconstruction, Image resolution, Machine learning, Training, structural prior BibRef

Jiang, J.J.[Jun-Jun], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Huang, K.B.[Ke-Bin], Lu, T.[Tao],
Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face recognition,
ICIP12(1465-1468).
IEEE DOI 1302
BibRef

Ma, X., Song, H., Qian, X.,
Robust Framework of Single-Frame Face Superresolution Across Head Pose, Facial Expression, and Illumination Variations,
HMS(45), No. 2, April 2015, pp. 238-250.
IEEE DOI 1503
Face BibRef

Li, Y.H.[Yu-Hua], Qi, C.[Chun],
Position constraint based face image super-resolution by learning multiple local linear projections,
SP:IC(32), No. 1, 2015, pp. 1-15.
Elsevier DOI 1503
Image super-resolution BibRef

Hu, Z.[Zhe], Yang, M.H.[Ming-Hsuan],
Learning Good Regions to Deblur Images,
IJCV(115), No. 3, December 2015, pp. 345-362.
Springer DOI 1512
BibRef
Earlier:
Good Regions to Deblur,
ECCV12(V: 59-72).
Springer DOI 1210
BibRef

Hu, Z.[Zhe], Cho, S.H.[Sung-Hyun], Wang, J.[Jue], Yang, M.H.[Ming-Hsuan],
Deblurring Low-Light Images with Light Streaks,
PAMI(40), No. 10, October 2018, pp. 2329-2341.
IEEE DOI 1809
BibRef
Earlier: CVPR14(3382-3389)
IEEE DOI 1409
Kernel, Cameras, Estimation, Feature extraction, Light sources, Optimization, Deconvolution, Image deblurring, light streak, non-uniform blur. deblurring, low-light BibRef

Wang, H.Y.[Hong-Yan], Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun], Liang, S.X.[Song-Xin],
Blind Image Deblurring Using Elastic-Net Based Rank Prior,
CVIU(168), 2018, pp. 157-171.
Elsevier DOI 1804
BibRef
Earlier: NTIRE16(I: 3-17).
Springer DOI 1704
Image deblurring, Non-local self-similarity, Kernel estimation BibRef

Pan, J.S.[Jin-Shan], Sun, D.Q.[De-Qing], Pfister, H.[Hanspeter], Yang, M.H.[Ming-Hsuan],
Deblurring Images via Dark Channel Prior,
PAMI(40), No. 10, October 2018, pp. 2315-2328.
IEEE DOI 1809
BibRef
Earlier:
Blind Image Deblurring Using Dark Channel Prior,
CVPR16(1628-1636)
IEEE DOI 1612
Image restoration, Convolution, Kernel, Image edge detection, Algorithm design and analysis, Face, Optimization, linear approximation BibRef

Cai, Y.[Yu], Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun],
Blind Image Deblurring via Salient Structure Detection and Sparse Representation,
PSIVTWS17(283-299).
Springer DOI 1806
BibRef

Pan, J.S.[Jin-Shan], Lin, Z., Su, Z.X.[Zhi-Xun], Yang, M.H.[Ming-Hsuan],
Robust Kernel Estimation with Outliers Handling for Image Deblurring,
CVPR16(2800-2808)
IEEE DOI 1612
BibRef

Dong, J., Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun], Yang, M.H.[Ming-Hsuan],
Blind Image Deblurring with Outlier Handling,
ICCV17(2497-2505)
IEEE DOI 1802
function approximation, image restoration, blind deblurring methods, blind image deblurring algorithm, Robustness BibRef

Pan, J.S.[Jin-Shan], Hu, Z.[Zhe], Su, Z.X.[Zhi-Xun], Yang, M.H.[Ming-Hsuan],
L_0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond,
PAMI(39), No. 2, February 2017, pp. 342-355.
IEEE DOI 1702
BibRef
Earlier:
Debluring Low-Resolution Images,
NTIRE16(I: 111-127).
Springer DOI 1704
BibRef
Earlier:
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior,
CVPR14(2901-2908)
IEEE DOI 1409
BibRef
Earlier:
Deblurring Face Images with Exemplars,
ECCV14(VII: 47-62).
Springer DOI 1408
Bayes methods. deblurring, prior, text images BibRef

Tian, D., Tao, D.,
Coupled Learning for Facial Deblur,
IP(25), No. 2, February 2016, pp. 961-972.
IEEE DOI 1601
Deconvolution BibRef

Khiari-Hili, N., Lelandais, S., Montagne, C., Roumes, C., Hamrouni, K., Plantier, J.,
Bio-inspired image enhancement derived from a 'rank order coding' model,
IET-IPR(10), No. 5, 2016, pp. 409-417.
DOI Link 1604
face recognition BibRef

Wang, J.W.[Jing-Wein], Le, N.T.[Ngoc Tuyen], Lee, J.S.[Jiann-Shu], Wang, C.C.[Chou-Chen],
Color face image enhancement using adaptive singular value decomposition in fourier domain for face recognition,
PR(57), No. 1, 2016, pp. 31-49.
Elsevier DOI 1605
Face recognition BibRef

Liang, L., Jin, L., Liu, D.,
Edge-Aware Label Propagation for Mobile Facial Enhancement on the Cloud,
CirSysVideo(27), No. 1, January 2017, pp. 125-138.
IEEE DOI 1701
Cloud computing BibRef

Hait, E., Gilboa, G.[Guy],
Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches,
IP(26), No. 6, June 2017, pp. 2705-2720.
IEEE DOI 1705
face recognition, pose estimation, dark facial images, image deblurring, non-rigid registration, similarity measures, super-resolution BibRef

Rasti, P.[Pejman], Nasrollahi, K.[Kamal], Orlova, O.[Olga], Tamberg, G.[Gert], Ozcinar, C.[Cagri], Moeslund, T.B.[Thomas B.], Anbarjafari, G.[Gholamreza],
A new low-complexity patch-based image super-resolution,
IET-CV(11), No. 7, October 2017, pp. 567-576.
DOI Link 1709
BibRef
Earlier: A1, A3, A4, A5, A2, A6, Only:
Improved interpolation kernels for super resolution algorithms,
IPTA16(1-6)
IEEE DOI 1703
cameras BibRef

Rasti, P.[Pejman], Uiboupin, T.[Tõnis], Escalera, S.[Sergio], Anbarjafari, G.[Gholamreza],
Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring,
AMDO16(175-184).
Springer DOI 1608
BibRef

Zeng, X., Huang, H., Qi, C.,
Expanding Training Data for Facial Image Super-Resolution,
Cyber(48), No. 2, February 2018, pp. 716-729.
IEEE DOI 1801
Cybernetics, Databases, Image reconstruction, Image resolution, Testing, Training, Training data, Facial image, training data expansion BibRef

Yang, S.[Shuai], Liu, J.Y.[Jia-Ying], Fang, Y.M.[Yu-Ming], Guo, Z.M.[Zong-Ming],
Joint-Feature Guided Depth Map Super-Resolution with Face Priors,
Cyber(48), No. 1, January 2018, pp. 399-411.
IEEE DOI 1801
Color, Dictionaries, Face, Image edge detection, Image reconstruction, Image resolution, Optimization, super-resolution (SR) BibRef

Zuo, Y.F.[Yi-Fan], Xu, Y.P.[Ya-Ping], Zeng, Y.F.[Yi-Feng], Fang, Y.M.[Yu-Ming], Huang, X.S.[Xiao-Shui], Yan, J.B.[Jie-Bin],
A2 GSTran: Depth Map Super-Resolution via Asymmetric Attention With Guidance Selection,
CirSysVideo(34), No. 6, June 2024, pp. 4668-4681.
IEEE DOI Code:
WWW Link. 2406
Transformers, Convolutional neural networks, Estimation, Solid modeling, Image reconstruction, Superresolution, self-attention BibRef

Zuo, Y.F.[Yi-Fan], Wang, H.[Hao], Xu, Y.P.[Ya-Ping], Huang, H.M.[Hui-Min], Huang, X.S.[Xiao-Shui], Xia, X.[Xue], Fang, Y.M.[Yu-Ming],
Learning content-aware feature fusion for guided depth map super-resolution,
SP:IC(126), 2024, pp. 117140.
Elsevier DOI 2406
Convolutional neural network, Joint trilateral filter, Guided depth map super-resolution, Content-dependent network BibRef

Yu, X.[Xin], Porikli, F.M.[Fatih M.],
Imagining the Unimaginable Faces by Deconvolutional Networks,
IP(27), No. 6, June 2018, pp. 2747-2761.
IEEE DOI 1804
BibRef
Earlier:
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders,
CVPR17(5367-5375)
IEEE DOI 1711
BibRef
Earlier:
Ultra-Resolving Face Images by Discriminative Generative Networks,
ECCV16(V: 318-333).
Springer DOI 1611
Convolutional codes, Decoding, Face, Image reconstruction, Image resolution, Noise measurement, Training deconvolution, emotion recognition, image representation, super-resolution BibRef

Yu, X., Fernando, B., Hartley, R.I.[Richard I.], Porikli, F.M.[Fatih M.],
Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes,
PAMI(42), No. 11, November 2020, pp. 2926-2943.
IEEE DOI 2010
BibRef
Earlier:
Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes,
CVPR18(908-917)
IEEE DOI 1812
Face, Spatial resolution, Image reconstruction, Semantics, Facial features, Feature extraction, super-resolution, attribute. Image resolution, Facial features, Semantics, Visualization, Image reconstruction BibRef

Yu, X.[Xin], Fernando, B.[Basura], Ghanem, B.[Bernard], Porikli, F.M.[Fatih M.], Hartley, R.I.[Richard I.],
Face Super-Resolution Guided by Facial Component Heatmaps,
ECCV18(IX: 219-235).
Springer DOI 1810
BibRef

Kalarot, R., Li, T., Porikli, F.M.,
Component Attention Guided Face Super-Resolution Network: CAGFace,
WACV20(359-369)
IEEE DOI 2006
Face, Spatial resolution, Image reconstruction, Signal resolution, Heating systems, Neural networks BibRef

El Sayed, A.[Ahmed], Kongar, E.[Elif], Mahmood, A.[Ausif], Sobh, T.[Tarek],
Unsupervised face recognition in the wild using high-dimensional features under super-resolution and 3D alignment effect,
SIViP(12), No. 7, October 2018, pp. 1353-1360.
WWW Link. 1809
BibRef

Zhang, Y.Q.[Yong-Qiang], Ding, M.L.[Ming-Li], Bai, Y.C.[Yan-Cheng], Ghanem, B.[Bernard],
Detecting small faces in the wild based on generative adversarial network and contextual information,
PR(94), 2019, pp. 74-86.
Elsevier DOI 1906
BibRef
Earlier: A3, A1, A2, A4:
Finding Tiny Faces in the Wild with Generative Adversarial Network,
CVPR18(21-30)
IEEE DOI 1812
Face detection, Tiny faces, Super-resolution, Generative adversarial network, Contextual information. Generators, Detectors, Spatial resolution BibRef

Amiri, M.[Mahmood], Ahmadyfard, A.[Alireza], Abolghasemi, V.[Vahid],
A fast video super resolution for facial image,
SP:IC(70), 2019, pp. 259-270.
Elsevier DOI 1812
Video super resolution, Dense registration, Facial image BibRef

Fanaee, F.[Farnaz], Yazdi, M.[Mehran], Faghihi, M.[Mohammad],
Face image super-resolution via sparse representation and wavelet transform,
SIViP(13), No. 1, February 2019, pp. 79-86.
WWW Link. 1901
BibRef

Heinsohn, D.[Daniel], Villalobos, E.[Esteban], Prieto, L.[Loreto], Mery, D.[Domingo],
Face recognition in low-quality images using adaptive sparse representations,
IVC(85), 2019, pp. 46-58.
Elsevier DOI 1905
Face recognition, Sparse representations, Deep learning, Superresolution, Low-quality images, Low-resolution BibRef

Pan, J.S.[Jin-Shan], Ren, W.Q.[Wen-Qi], Hu, Z.[Zhe], Yang, M.H.[Ming-Hsuan],
Learning to Deblur Images with Exemplars,
PAMI(41), No. 6, June 2019, pp. 1412-1425.
IEEE DOI 1905
Image edge detection, Kernel, Image restoration, Estimation, Prediction algorithms, Convolutional neural networks, deep edge BibRef

Chrysos, G.G.[Grigorios G.], Favaro, P.[Paolo], Zafeiriou, S.P.[Stefanos P.],
Motion Deblurring of Faces,
IJCV(127), No. 6-7, June 2019, pp. 801-823.
Springer DOI 1906
BibRef
Earlier: A1, A3, Only:
Deep Face Deblurring,
FaceWild17(2015-2024)
IEEE DOI 1709
Estimation, Face, Kernel, Optimization, Shape, Training, Videos BibRef

Zeng, K.[Kangli], Lu, T.[Tao], Liang, X.F.[Xue-Feng], Liu, K.[Kai], Chen, H.[Hui], Zhang, Y.[Yanduo],
Face super-resolution via bilayer contextual representation,
SP:IC(75), 2019, pp. 147-157.
Elsevier DOI 1906
Award, CIARP. Face super-resolution, Kernel function, Nonlinear representation, Context-patch BibRef

Qu, C.C.[Cheng-Chao], Monari, E.[Eduardo], Schuchert, T.[Tobias], Beyerer, J.[Jürgen],
Patch-based facial texture super-resolution by fitting 3D face models,
MVA(30), No. 4, June 2019, pp. 557-586.
Springer DOI 1906
BibRef

Chen, L., Pan, J., Jiang, J., Zhang, J., Wu, Y.,
Robust Face Super-Resolution via Position Relation Model Based on Global Face Context,
IP(29), 2020, pp. 9002-9016.
IEEE DOI 2009
Faces, Image resolution, Image reconstruction, Degradation, Context modeling, Topology, Robustness, Face super-resolution, face position BibRef

Chen, L., Pan, J., Li, Q.,
Robust Face Image Super-Resolution via Joint Learning of Subdivided Contextual Model,
IP(28), No. 12, December 2019, pp. 5897-5909.
IEEE DOI 1909
Face, Context modeling, Topology, Image resolution, Image restoration, Image recognition, Surveillance, recognition feature BibRef

Wang, M.X.[Meng-Xue], Chen, Z.X.[Zhen-Xue], Wu, Q.M.J.[Q. M. Jonathan], Jian, M.[Muwei],
Improved face super-resolution generative adversarial networks,
MVA(31), No. 4, April 2020, pp. Article22.
Springer DOI 2004
BibRef

Yasarla, R., Perazzi, F., Patel, V.M.,
Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks,
IP(29), 2020, pp. 6251-6263.
IEEE DOI 2005
Facial image deblurring, semantic masks, confidence scores BibRef

Hu, X.[Xiao], Sun, J.[Juan], Mai, Z.H.[Zhuo-Hao], Li, S.Y.[Shu-Yi], Peng, S.H.[Shao-Hu],
Face quality analysis of single-image super-resolution based on SIFT,
SIViP(14), No. 4, June 2020, pp. 829-837.
WWW Link. 2005
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Chen, J.[Jin], Chen, J.[Jun], Wang, Z.[Zheng], Liang, C.[Chao], Lin, C.W.[Chia-Wen],
Identity-Aware Face Super-Resolution for Low-Resolution Face Recognition,
SPLetters(27), 2020, pp. 645-649.
IEEE DOI 2005
Face, Feature extraction, Image resolution, Face recognition, Measurement, Image reconstruction, Training, magnitude loss BibRef

Jiang, J.J.[Jun-Jun], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Chen, L.[Liang], Chen, J.[Jun],
Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition,
MMMod15(I: 37-48).
Springer DOI 1501
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Shen, Z.Y.[Zi-Yi], Lai, W.S.[Wei-Sheng], Xu, T.F.[Ting-Fa], Kautz, J.[Jan], Yang, M.H.[Ming-Hsuan],
Exploiting Semantics for Face Image Deblurring,
IJCV(128), No. 7, July 2020, pp. 1829-1846.
Springer DOI 2007
BibRef
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Deep Semantic Face Deblurring,
CVPR18(8260-8269)
IEEE DOI 1812
Face, Semantics, Image restoration, Kernel, Training, Image edge detection, Mouth BibRef

Chen, L., Pan, J., Hu, R., Han, Z., Liang, C., Wu, Y.,
Modeling and Optimizing of the Multi-Layer Nearest Neighbor Network for Face Image Super-Resolution,
CirSysVideo(30), No. 12, December 2020, pp. 4513-4525.
IEEE DOI 2012
Face, Artificial neural networks, Image resolution, Principal component analysis, Manifolds, Degradation, Surveillance, low-quality facial image BibRef

Li, M., Zhang, Z., Yu, J., Chen, C.W.,
Learning Face Image Super-Resolution Through Facial Semantic Attribute Transformation and Self-Attentive Structure Enhancement,
MultMed(23), 2021, pp. 468-483.
IEEE DOI 2012
Face, Semantics, Feature extraction, Task analysis, Facial features, Face super-resolution, face hallucination, facial structure enhancement BibRef

Chen, C., Gong, D., Wang, H., Li, Z., Wong, K.Y.K.,
Learning Spatial Attention for Face Super-Resolution,
IP(30), 2021, pp. 1219-1231.
IEEE DOI 2012
Faces, Face recognition, Task analysis, Spatial resolution, Training, Residual neural networks, Face super-resolution, generative adversarial networks BibRef

Liu, Y., Zhang, S., Xu, J., Yang, J., Tai, Y.W.,
An Accurate and Lightweight Method for Human Body Image Super-Resolution,
IP(30), 2021, pp. 2888-2897.
IEEE DOI 2102
Image reconstruction, Feature extraction, Faces, Visualization, Superresolution, Biological system modeling, Training, nonsubsampled shearlet transform BibRef

Xu, Y.[Yong], Zou, H.Y.[Hao-Yang], Huang, Y.[Yan], Jin, L.W.[Lian-Wen], Ling, H.B.[Hai-Bin],
Super-resolving blurry face images with identity preservation,
PRL(146), 2021, pp. 158-164.
Elsevier DOI 2105
Super-resolution, Deblurring, Identity preservation, Deep learning BibRef

Chen, L.[Liang], Pan, J.S.[Jin-Shan], Jiang, J.J.[Jun-Jun], Zhang, J.W.[Jia-Wei], Han, Z.[Zhen], Bao, L.C.[Lin-Chao],
Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations,
IP(30), 2021, pp. 5600-5612.
IEEE DOI 2106
Degradation, Faces, Training, Imaging, Image reconstruction, Tools, Image quality, Face super-resolution, data re-expression, projection bridge BibRef

Wang, Y.[Yu], Lu, T.[Tao], Yao, F.[Feng], Wu, Y.T.[Yun-Tao], Zhang, Y.D.[Yan-Duo],
Multi-View Texture Learning for Face Super-Resolution,
IEICE(E104-D), No. 7, July 2021, pp. 1028-1038.
WWW Link. 2107
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Wang, Y.[Yu], Lu, T.[Tao], Xu, R.[Ruobo], Zhang, Y.D.[Yan-Duo],
Face Super-resolution by Learning Multi-view Texture Compensation,
MMMod20(II:350-360).
Springer DOI 2003
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Zhang, M.L.[Meng-Lei], Ling, Q.[Qiang],
Supervised Pixel-Wise GAN for Face Super-Resolution,
MultMed(23), 2021, pp. 1938-1950.
IEEE DOI 2107
Face recognition, Generative adversarial networks, Feature extraction, pixel-wise GAN BibRef

Zhou, Y.[Yang], Gong, X.[Xun], Yang, P.[Peng],
A directional margin paradigm for noise suppression in face recognition,
JVCIR(78), 2021, pp. 103182.
Elsevier DOI 2107
Face recognition, Margin paradigm, Loss function, Noisy labels, Two-step learning BibRef

Bian, S.[Sige], Li, H.[He], Yu, F.[Feng], Liu, J.Y.[Ji-Yuan], Changjun, S.[Song], Tang, Y.M.[Yong-Ming],
Fapn: Face Alignment Propagation Network for Face Video Super-resolution,
ACCVWS22(3-18).
Springer DOI 2307
BibRef

Yu, F.[Feng], Li, H.[He], Bian, S.[Sige], Tang, Y.M.[Yong-Ming],
An Efficient Network Design for Face Video Super-resolution,
MFR21(1513-1520)
IEEE DOI 2112
Training, Superresolution, Video sequences, Streaming media, Network architecture, Real-time systems, Proposals BibRef

Kim, J.H.[Jong-Hyun], Li, G.[Gen], Jung, C.[Cheolkon], Kim, J.[Joongkyu],
Progressive Face Super-Resolution with Non-Parametric Facial Prior Enhancement,
ICIP21(899-903)
IEEE DOI 2201
Deep learning, Visualization, Superresolution, Feature extraction, Distortion, Data mining, Super-resolution, Face hallucination, Facial priors BibRef

Aakerberg, A.[Andreas], Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Real-world super-resolution of face-images from surveillance cameras,
IET-IPR(16), No. 2, 2022, pp. 442-452.
DOI Link 2201
BibRef

Allahham, M.[Moaaz], Aakerberg, A.[Andreas], Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Real-World Thermal Image Super-Resolution,
ISVC21(I:3-14).
Springer DOI 2112
BibRef

Liu, T.[Tie], Xu, M.[Mai], Li, S.X.[Sheng-Xi], Ding, R.[Rui], Liu, H.[Huaida],
MRS-Net+ for Enhancing Face Quality of Compressed Videos,
CirSysVideo(32), No. 5, May 2022, pp. 2881-2894.
IEEE DOI 2205
Faces, Videos, Image coding, Image restoration, Face recognition, Databases, Video sequences, Database, face quality enhancement, scalable structure BibRef

Zeng, K.L.[Kang-Li], Wang, Z.Y.[Zhong-Yuan], Lu, T.[Tao], Chen, J.Y.[Jian-Yu], Huang, B.J.[Bao-Jin], Han, Z.[Zhen], Tian, X.[Xin],
Realistic frontal face reconstruction using coupled complementarity of far-near-sighted face images,
PR(129), 2022, pp. 108754.
Elsevier DOI 2206
Face frontalization, Super-resolution, Information compensation, Far-near faces BibRef

Dastmalchi, H.[Hamidreza], Aghaeinia, H.[Hassan],
Super-resolution of very low-resolution face images with a wavelet integrated, identity preserving, adversarial network,
SP:IC(107), 2022, pp. 116755.
Elsevier DOI 2208
Super-resolution, Wavelet prediction, Generative Adversarial Networks, Face Hallucination, Perceptual quality BibRef

Wang, C.Y.[Chen-Yang], Jiang, J.J.[Jun-Jun], Zhong, Z.W.[Zhi-Wei], Liu, X.M.[Xian-Ming],
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution,
CirSysVideo(32), No. 11, November 2022, pp. 7317-7331.
IEEE DOI 2211
Faces, Face recognition, Superresolution, Estimation, Training, Knowledge engineering, Generative adversarial networks, knowledge distillation BibRef

Chen, Y.[Yu], Tai, Y.[Ying], Liu, X.M.[Xiao-Ming], Shen, C.H.[Chun-Hua], Yang, J.[Jian],
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors,
CVPR18(2492-2501)
IEEE DOI 1812
Face, Image resolution, Estimation, Feature extraction, Decoding, Heating systems, Shape BibRef

Bao, Q.Q.[Qi-Qi], Gang, B.[Bowen], Yang, W.M.[Wen-Ming], Zhou, J.[Jie], Liao, Q.M.[Qing-Min],
Attention-Driven Graph Neural Network for Deep Face Super-Resolution,
IP(31), 2022, pp. 6455-6470.
IEEE DOI 2211
Faces, Feature extraction, Superresolution, Convolution, Task analysis, Correlation, Graph neural networks, dynamic adjacency matrix BibRef

Jiang, J.J.[Jun-Jun], Wang, C.Y.[Chen-Yang], Liu, X.M.[Xian-Ming], Ma, J.Y.[Jia-Yi],
Deep Learning-Based Face Super-Resolution: A Survey,
Surveys(55), No. 1, January 2023, pp. xx-yy.
DOI Link 2212
Survey, Face Super-Resolution. survey, Face super-resolution, deep learning, facial characteristics BibRef

Zhang, X.[Xi], Wu, X.L.[Xiao-Lin],
Multi-Modality Deep Restoration of Extremely Compressed Face Videos,
PAMI(45), No. 2, February 2023, pp. 2024-2037.
IEEE DOI 2301
Videos, Image coding, Video compression, Faces, Image restoration, Face recognition, Task analysis, Deep neural networks, face videos, video restoration BibRef

Hou, H.[Hao], Xu, J.[Jun], Hou, Y.[Yingkun], Hu, X.T.[Xiao-Tao], Wei, B.[Benzheng], Shen, D.G.[Ding-Gang],
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution,
IP(32), 2023, pp. 1184-1199.
IEEE DOI 2302
Faces, Face recognition, Image restoration, Degradation, Generative adversarial networks, Superresolution, Task analysis, cycle-consistent generative adversarial networks BibRef

Gao, G.W.[Guang-Wei], Xu, Z.X.[Zi-Xiang], Li, J.C.[Jun-Cheng], Yang, J.[Jian], Zeng, T.Y.[Tie-Yong], Qi, G.J.[Guo-Jun],
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution,
IP(32), 2023, pp. 1978-1991.
IEEE DOI 2304
Feature extraction, Face recognition, Faces, Superresolution, Image reconstruction, Decoding, Transformers, generative adversarial networks (GANs) BibRef

Wei, F.[Feng], Wang, S.[Song], Yang, J.C.[Ju-Cheng], Sun, X.[Xiao], Wang, Y.[Yuan], Chen, Y.R.[Ya-Rui],
A Composite Network Model for Face Super-Resolution with Multi-Order Head Attention Facial Priors,
PR(139), 2023, pp. 109503.
Elsevier DOI 2304
Face super-resolution, FSR, Multi-order head attention, Facial components, Prior information, Transformer BibRef

Tomar, A.S.[Anurag Singh], Arya, K.V., Rajput, S.S.[Shyam Singh],
Attentive ExFeat based deep generative adversarial network for noise robust face super-resolution,
PRL(169), 2023, pp. 58-66.
Elsevier DOI 2305
Convolutional neural network, Face super-resolution, Face hallucination, Exigent feature attention unit, Noise robust BibRef

Liu, Z.L.[Zhi-Lei], Zhang, C.G.[Cheng-Gong], Wu, Y.P.[Yun-Peng], Zhang, C.C.[Cui-Cui],
Joint face completion and super-resolution using multi-scale feature relation learning,
JVCIR(93), 2023, pp. 103806.
Elsevier DOI 2305
Face restoration, Multi-scale feature, Graph convolution BibRef

Gao, G.W.[Guang-Wei], Tang, L.[Lei], Wu, F.[Fei], Lu, H.M.[Hui-Min], Yang, J.[Jian],
JDSR-GAN: Constructing an Efficient Joint Learning Network for Masked Face Super-Resolution,
MultMed(25), 2023, pp. 1505-1512.
IEEE DOI 2305
Faces, Face recognition, Superresolution, Noise reduction, Task analysis, Generators, Noise level, Image denoising, generative adversarial network BibRef

Ren, X.Y.[Xin-Yi], Hui, Q.[Qiang], Zhao, X.[Xingke], Xiong, J.P.[Jian-Ping], Yin, J.[Jun],
BESRGAN: Boundary equilibrium face super-resolution generative adversarial networks,
IET-IPR(17), No. 6, 2023, pp. 1784-1796.
DOI Link 2305
image reconstruction, image resolution, image restoration BibRef

Gao, G.W.[Guang-Wei], Yu, Y.[Yi], Lu, H.M.[Hui-Min], Yang, J.[Jian], Yue, D.[Dong],
Context-Patch Representation Learning With Adaptive Neighbor Embedding for Robust Face Image Super-Resolution,
MultMed(25), 2023, pp. 1879-1889.
IEEE DOI 2306
Training, Faces, Image reconstruction, Face recognition, Representation learning, Adaptation models, Testing, representation learning BibRef

Zeng, D.[Dan], Li, Z.L.[Ze-Lin], Yan, X.[Xiao], Jiang, W.[Wen], Wang, X.S.[Xin-Shao], Liu, J.[Jiang], Tang, B.[Bo],
Cascaded face super-resolution with shape and identity priors,
IET-IPR(17), No. 11, 2023, pp. 3309-3322.
DOI Link 2310
image enhancement, image reconstruction, image resolution BibRef

Wang, Z.X.[Zhou-Xia], Zhang, J.W.[Jia-Wei], Chen, T.S.[Tian-Shui], Wang, W.P.[Wen-Ping], Luo, P.[Ping],
RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs,
PAMI(45), No. 12, December 2023, pp. 15462-15476.
IEEE DOI 2311
BibRef

Wang, Z.X.[Zhou-Xia], Zhang, J.W.[Jia-Wei], Chen, R.J.[Run-Jian], Wang, W.P.[Wen-Ping], Luo, P.[Ping],
RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs,
CVPR22(17491-17500)
IEEE DOI 2210
Degradation, Visualization, Dictionaries, Face recognition, Transformers, Image restoration, Low-level vision, Computational photography BibRef

Bao, Q.Q.[Qi-Qi], Liu, Y.[Yunmeng], Gang, B.[Bowen], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
SCTANet: A Spatial Attention-Guided CNN-Transformer Aggregation Network for Deep Face Image Super-Resolution,
MultMed(25), 2023, pp. 8554-8565.
IEEE DOI 2312
BibRef

Shi, J.G.[Jin-Gang], Wang, Y.S.[Yu-Si], Yu, Z.T.[Zi-Tong], Li, G.X.[Guan-Xin], Hong, X.P.[Xiao-Peng], Wang, F.[Fei], Gong, Y.H.[Yi-Hong],
Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution,
MultMed(26), 2024, pp. 2608-2620.
IEEE DOI 2402
Transformers, Image reconstruction, Faces, Feature extraction, Face recognition, Task analysis, Training, Face hallucination, Transformer BibRef

Qi, H.R.[Hao-Ran], Qiu, Y.W.[Yu-Wei], Luo, X.[Xing], Jin, Z.[Zhi],
An Efficient Latent Style Guided Transformer-CNN Framework for Face Super-Resolution,
MultMed(26), 2024, pp. 1589-1599.
IEEE DOI Code:
WWW Link. 2402
Transformers, Feature extraction, Convolutional neural networks, Faces, Image reconstruction, Task analysis, Superresolution, recursive learning BibRef

Long, M.[Min], Zhou, J.[Jun], Zhang, L.B.[Le-Bing], Peng, F.[Fei], Zhang, D.Y.[Deng-Yong],
ADFF: Adaptive de-morphing factor framework for restoring accomplice's facial image,
IET-IPR(18), No. 2, 2024, pp. 470-480.
DOI Link 2402
face recognition, image forensics BibRef

Wang, S.[Simiao], Sang, Y.[Yu], Liu, Y.[Yunan], Wang, C.P.[Chun-Peng], Lu, M.Y.[Ming-Yu], Sun, J.[Jinguang],
Prior based Pyramid Residual Clique Network for human body image super-resolution,
PR(150), 2024, pp. 110352.
Elsevier DOI 2403
Human body super-resolution, Residual clique block, Pyramid residual clique network, Uniform discrete curvelet transform BibRef

Cheng, X.[Xi], Siu, W.C.[Wan-Chi],
Edge fusion back projection GAN for large scale face super resolution,
JVCIR(100), 2024, pp. 104143.
Elsevier DOI 2405
Face super resolution, Edge guidance, Back projection, Deep learning BibRef

Dou, R.[Rui], Li, J.[Jiawen], Wan, X.[Xujie], Chang, H.[Heyou], Zheng, H.[Hao], Gao, G.[Guangwei],
A Decoder Structure Guided CNN-Transformer Network for face super-resolution,
IET-CV(18), No. 4, 2024, pp. 473-484.
DOI Link 2406
image processing BibRef

Tan, J.F.[Jing-Fan], Chen, X.X.[Xiao-Xu], Wang, T.[Tao], Zhang, K.[Kaihao], Luo, W.H.[Wen-Han], Cao, X.[Xiaocun],
Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer,
CirSysVideo(34), No. 6, June 2024, pp. 4914-4927.
IEEE DOI 2406
Image restoration, Faces, Degradation, Imaging, Cameras, Organic light emitting diodes, Transformers, transformer BibRef

Hu, Y.F.[Yu-Fan], Xia, J.Y.[Jun-Yong], Liu, H.M.[Hong-Min], Wang, X.[Xing],
Unsupervised face image deblurring via disentangled representation learning,
PRL(183), 2024, pp. 9-16.
Elsevier DOI 2406
Facial image deblurring, Unsupervised disentangled representations, Generative adversarial networks BibRef

Li, L.[Ling], Zhang, Y.[Yan], Yuan, L.[Lin], Gao, X.B.[Xin-Bo],
SANet: Face super-resolution based on self-similarity prior and attention integration,
PR(157), 2025, pp. 110854.
Elsevier DOI 2409
Face super-resolution (FSR), Facial self-similarity, Non-local correlation, Attention integration BibRef


Suin, M.[Maitreya], Nair, N.G.[Nithin Gopalakrishnan], Lau, C.P.[Chun Pong], Patel, V.M.[Vishal M.], Chellappa, R.[Rama],
Diffuse and Restore: A Region-Adaptive Diffusion Model for Identity-Preserving Blind Face Restoration,
WACV24(6331-6340)
IEEE DOI 2404
Degradation, Adaptation models, Image synthesis, Face recognition, Diffusion processes, Generative adversarial networks, Low-level and physics-based vision BibRef

Lau, Y.F.[Yuen-Fui], Zhang, T.[Tianjia], Rao, Z.[Zhefan], Chen, Q.F.[Qi-Feng],
ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration,
WACV24(5150-5159)
IEEE DOI 2404
Manifolds, Codes, Vector quantization, Semantics, Network architecture, Feature extraction, Image restoration, Arts / games / social media BibRef

Tsai, Y.T.[Yi Ting], Chen, Y.W.[Yu Wei], Shuai, H.H.[Hong-Han], Huang, C.C.[Ching-Chun],
Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks,
WACV24(4258-4267)
IEEE DOI 2404
Sensitivity, Superresolution, Modulation, Robustness, Frequency estimation, Task analysis, Algorithms, body pose BibRef

Liu, Z.L.[Zhi-Lei], Zhang, C.G.[Cheng-Gong],
Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information,
ICIP23(3479-3483)
IEEE DOI 2312
BibRef

Wang, C.Y.[Chen-Yang], Jiang, J.J.[Jun-Jun], Zhong, Z.W.[Zhi-Wei], Liu, X.M.[Xian-Ming],
Spatial-Frequency Mutual Learning for Face Super-Resolution,
CVPR23(22356-22366)
IEEE DOI 2309
BibRef

Xiang, X.Y.[Xiao-Yu], Morton, J.[Jon], Reda, F.A.[Fitsum A.], Young, L.D.[Lucas D.], Perazzi, F.[Federico], Ranjan, R.[Rakesh], Kumar, A.[Amit], Colaco, A.[Andrea], Allebach, J.P.[Jan P.],
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars,
WACV23(1694-1704)
IEEE DOI 2302
Costs, Correlation, Superresolution, Image reconstruction, Facial features, Algorithms: Computational photography, Low-level and physics-based vision BibRef

Grm, K.[Klemen], Özata, B.K.[Berk Kemal], Štruc, V.[Vitomir], Ekenel, H.K.[Hazim Kemal],
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition,
RealWorld23(1-10)
IEEE DOI 2302
Training, Photography, Hair, Image color analysis, Face recognition, Surveillance, Superresolution BibRef

Given, N.A.[No Author],
AT-DDPM: Restoring Faces Degraded by Atmospheric Turbulence Using Denoising Diffusion Probabilistic Models,
WACV23(3423-3432)
IEEE DOI 2302
Portable document format, Algorithms: Biometrics, face, gesture, body pose, Low-level and physics-based vision BibRef

Li, C.J.[Cheng-Jie], Xiao, N.F.[Nan-Feng],
A Face Structure Attention Network for Face Super-Resolution,
ICPR22(75-81)
IEEE DOI 2212
Measurement, Knowledge engineering, Visualization, Face recognition, Superresolution, Image restoration, Task analysis BibRef

Gu, Y.C.[Yu-Chao], Wang, X.T.[Xin-Tao], Xie, L.B.[Liang-Bin], Dong, C.[Chao], Li, G.[Gen], Shan, Y.[Ying], Cheng, M.M.[Ming-Ming],
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder,
ECCV22(XVIII:126-143).
Springer DOI 2211
BibRef

Gao, F.Y.[Fang-Yuan], Deng, X.[Xin], Liu, T.[Tie], Xu, M.[Mai],
SFIC: Sparsity-Driven Facial Image Compression Network,
ICIP22(2916-2920)
IEEE DOI 2211
Convolutional codes, Image coding, Social networking (online), Transform coding, Transforms, Video surveillance, sparse representation BibRef

Li, X.M.[Xiao-Ming], Zuo, W.M.[Wang-Meng], Loy, C.C.[Chen Change],
Learning Generative Structure Prior for Blind Text Image Super-resolution,
CVPR23(10103-10113)
IEEE DOI 2309
BibRef

Li, X.M.[Xiao-Ming], Chen, C.F.[Chao-Feng], Lin, X.H.[Xian-Hui], Zuo, W.M.[Wang-Meng], Zhang, L.[Lei],
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution,
ECCV22(XVIII:376-392).
Springer DOI 2211
BibRef

He, J.W.[Jing-Wen], Shi, W.[Wu], Chen, K.[Kai], Fu, L.[Lean], Dong, C.[Chao],
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors,
CVPR22(1879-1888)
IEEE DOI 2210
Training, Image resolution, Fuses, Phase modulation, Face recognition, Computer architecture, Image restoration, Deep learning architectures and techniques BibRef

Zhang, Z.Y.[Zhen-Yu], Ge, Y.[Yanhao], Tai, Y.[Ying], Huang, X.M.[Xiao-Ming], Wang, C.J.[Cheng-Jie], Tang, H.[Hao], Huang, D.J.[Dong-Jin], Xie, Z.F.[Zhi-Feng],
Learning to Restore 3D Face from In-the-Wild Degraded Images,
CVPR22(4227-4237)
IEEE DOI 2210
Geometry, Solid modeling, Uncertainty, Face recognition, Computational modeling, Refining, Face and gestures, 3D from single images BibRef

Dong, Y.Y.[Yang-Yi], Zhang, X.Y.[Xiao-Yun], Wang, Z.X.[Zhi-Xin], Zhang, Y.[Ya], Chen, S.[Siheng], Wang, Y.F.[Yan-Feng],
Unpaired Face Restoration via Learnable Cross-Quality Shift,
NTIRE22(666-674)
IEEE DOI 2210
Degradation, Codes, Face recognition, Image restoration, Faces BibRef

Zhu, F.[Feida], Zhu, J.W.[Jun-Wei], Chu, W.Q.[Wen-Qing], Zhang, X.Y.[Xin-Yi], Ji, X.Z.[Xiao-Zhong], Wang, C.J.[Cheng-Jie], Tai, Y.[Ying],
Blind Face Restoration via Integrating Face Shape and Generative Priors,
CVPR22(7652-7661)
IEEE DOI 2210
Geometry, Shape, Face recognition, Feature extraction, Image restoration, Decoding, Machine learning BibRef

Zhao, Y.[Yang], Su, Y.C.[Yu-Chuan], Chu, C.T.[Chun-Te], Li, Y.D.[Yan-Dong], Renn, M.[Marius], Zhu, Y.K.[Yu-Kun], Chen, C.Y.[Chang-You], Jia, X.[Xuhui],
Rethinking Deep Face Restoration,
CVPR22(7642-7651)
IEEE DOI 2210
Measurement, Correlation, Face recognition, Computational modeling, Visual systems, Image restoration, Face and gestures BibRef

Xie, L.B.[Liang-Bin], Wang, X.T.[Xin-Tao], Zhang, H.L.[Hong-Lun], Dong, C.[Chao], Shan, Y.[Ying],
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution,
NTIRE22(656-665)
IEEE DOI 2210
Training, Visualization, Privacy, Face recognition, Superresolution, Pipelines, Benchmark testing BibRef

Jiang, J.J.[Jun-Jun], Wang, C.Y.[Chen-Yang], Liu, X.M.[Xian-Ming], Jiang, K.[Kui], Ma, J.Y.[Jia-Yi],
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution,
PBVS22(266-275)
IEEE DOI 2210
Training, Correlation, Face recognition, Superresolution, Task analysis, Spatial resolution BibRef

Salguero-Cruz, A.[Antonio], Latorre-Carmona, P.[Pedro], García-Osorio, C.I.[César Ignacio],
Proposal of a Comparative Framework for Face Super-Resolution Algorithms in Forensics,
IbPRIA22(458-469).
Springer DOI 2205
BibRef

Li, P.[Peike], Yu, X.[Xin], Yang, Y.[Yi],
Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar,
ICCV21(4449-4459)
IEEE DOI 2203
Training, Superresolution, Lighting, Imaging, Hardware, Decoding, Vision applications and systems, Image and video synthesis, Representation learning BibRef

Jung, S.H.[Soo Hyun], Lee, T.B.[Tae Bok], Heo, Y.S.[Yong Seok],
Deep Feature Prior Guided Face Deblurring,
WACV22(884-893)
IEEE DOI 2202
Training, Shape, Face recognition, Estimation, Transforms, Streaming media, Generative adversarial networks, Image and Video Synthesis BibRef

Chen, C.F.[Chao-Feng], Li, X.M.[Xiao-Ming], Yang, L.B.[Ling-Bo], Lin, X.H.[Xian-Hui], Zhang, L.[Lei], Wong, K.Y.K.[Kwan-Yee K.],
Progressive Semantic-Aware Style Transformation for Blind Face Restoration,
CVPR21(11891-11900)
IEEE DOI 2111
Face recognition, Semantics, Robustness, Data models, Image restoration, Faces BibRef

Yang, T.[Tao], Ren, P.R.[Pei-Ran], Xie, X.[Xuansong], Zhang, L.[Lei],
GAN Prior Embedded Network for Blind Face Restoration in the Wild,
CVPR21(672-681)
IEEE DOI 2111
Training, Degradation, Deep learning, Codes, Image synthesis, Face recognition, Generative adversarial networks BibRef

Wang, X.T.[Xin-Tao], Li, Y.[Yu], Zhang, H.L.[Hong-Lun], Shan, Y.[Ying],
Towards Real-World Blind Face Restoration with Generative Facial Prior,
CVPR21(9164-9174)
IEEE DOI 2111
Geometry, Art, Limiting, Image color analysis, Face recognition, Transforms BibRef

Ko, S.L.[Shan-Lei], Dai, B.R.[Bi-Ru],
Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution,
ICPR21(3505-3512)
IEEE DOI 2105
Training, Face recognition, Image edge detection, Superresolution, Data mining, Image reconstruction BibRef

Liu, S.[Shuang], Xiong, C.Y.[Cheng-Yi], Gao, Z.R.[Zhi-Rong],
Face Super-Resolution Network with Incremental Enhancement of Facial Parsing Information,
ICPR21(7537-7543)
IEEE DOI 2105
Training, Image quality, Measurement, Face recognition, Superresolution, Performance gain, Boosting, face super-resolution, progressive training BibRef

Takano, N.[Nao], Alaghband, G.[Gita],
Generator from Edges: Reconstruction of Facial Images,
ISVC20(II:430-443).
Springer DOI 2103
BibRef

Wang, K.[Kaili], Oramas Mogrovejo, J.A.[Jose A.], Tuytelaars, T.[Tinne],
Multiple Exemplars-based Hallucination for Face Super-resolution and Editing,
ACCV20(V:258-273).
Springer DOI 2103
BibRef

Lau, C.P., Souri, H., Chellappa, R.,
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence,
FG20(32-39)
IEEE DOI 2102
Image restoration, Face recognition, Strain, Image reconstruction, Degradation, Faces, Training, Image Restoration, Face Recognition, Generative Adversarial Networks BibRef

Li, X.M.[Xiao-Ming], Chen, C.F.[Chao-Feng], Zhou, S.C.[Shang-Chen], Lin, X.H.[Xian-Hui], Zuo, W.M.[Wang-Meng], Zhang, L.[Lei],
Blind Face Restoration via Deep Multi-scale Component Dictionaries,
ECCV20(IX:399-415).
Springer DOI 2011
BibRef

Hu, X.B.[Xiao-Bin], Ren, W.Q.[Wen-Qi], La Master, J.[John], Cao, X.C.[Xiao-Chun], Li, X.M.[Xiao-Ming], Li, Z.C.[Ze-Chao], Menze, B.[Bjoern], Liu, W.[Wei],
Face Super-resolution Guided by 3d Facial Priors,
ECCV20(IV:763-780).
Springer DOI 2011
BibRef

Li, X., Li, W., Ren, D., Zhang, H., Wang, M., Zuo, W.,
Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion,
CVPR20(2703-2712)
IEEE DOI 2008
Face, Image restoration, Degradation, Adaptive systems, Navigation, Lighting, Image reconstruction BibRef

Zhang, Y., Wu, Y., Chen, L.,
MSFSR: A Multi-Stage Face Super-Resolution with Accurate Facial Representation via Enhanced Facial Boundaries,
NTIRE20(2120-2129)
IEEE DOI 2008
Face, Spatial resolution, Task analysis, Image reconstruction, Semantics, Generative adversarial networks BibRef

Ma, C., Jiang, Z., Rao, Y., Lu, J., Zhou, J.,
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation,
CVPR20(5568-5577)
IEEE DOI 2008
Face, Image resolution, Feature extraction, Collaboration, Heating systems, Estimation, Iterative methods BibRef

Meishvili, G., Jenni, S., Favaro, P.,
Learning to Have an Ear for Face Super-Resolution,
CVPR20(1361-1371)
IEEE DOI 2008
Image resolution, Face, Signal resolution, Generators, Task analysis, Training, Visualization BibRef

Cheng, Z., Zhu, X., Gong, S.,
Characteristic Regularisation for Super-Resolving Face Images,
WACV20(2424-2433)
IEEE DOI 2006
Image resolution, Adaptation models, Training, Computational modeling, Task analysis, Data models BibRef

Siadari, T.S., Han, M., Yoon, H.,
GSR-MAR: Global Super-Resolution for Person Multi-Attribute Recognition,
RLQ19(1098-1103)
IEEE DOI 2004
image enhancement, image recognition, image resolution, image texture, object detection, recognition BibRef

Ren, W., Yang, J., Deng, S., Wipf, D., Cao, X., Tong, X.,
Face Video Deblurring Using 3D Facial Priors,
ICCV19(9387-9396)
IEEE DOI 2004
face recognition, image reconstruction, image restoration, neural net architecture, pose estimation, Semantics BibRef

Zheng, W., Yan, L., Zhang, W., Gou, C., Wang, F.,
Guided Cyclegan Via Semi-Dual Optimal Transport for Photo-Realistic Face Super-Resolution,
ICIP19(2851-2855)
IEEE DOI 1910
Face Super-Resolution, Semi-Dual Optimal Transport, CycleGAN BibRef

Yuan, Y., Li, J., Li, Y., Gou, J., Qiang, J., Sun, Q.,
Learning Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition,
ICIP19(3871-3875)
IEEE DOI 1910
Face Hallucination, Partial Least Squares, Face Recognition, Nonlinear Feature BibRef

Oulefki, A.[Adel], Aouache, M.[Mustapha], Bengherabi, M.[Messaoud],
Low-Light Face Image Enhancement Based on Dynamic Face Part Selection,
IbPRIA19(II:86-97).
Springer DOI 1910
BibRef

Jin, M., Hirsch, M., Favaro, P.,
Learning Face Deblurring Fast and Wide,
Restoration18(858-8588)
IEEE DOI 1812
Face, Radio frequency, Convolution, Kernel, Deconvolution, Cameras, ISO BibRef

Liu, L., Li, S.,
Face Image Super-Resolution via K-NN Regularized Collaborative Representation with Importance Reweighting,
ICPR18(2809-2814)
IEEE DOI 1812
Face, Image resolution, Training, Collaboration, Dictionaries, Noise measurement, Image reconstruction BibRef

Li, X.M.[Xiao-Ming], Liu, M.[Ming], Ye, Y.T.[Yu-Ting], Zuo, W.M.[Wang-Meng], Lin, L.[Liang], Yang, R.G.[Rui-Gang],
Learning Warped Guidance for Blind Face Restoration,
ECCV18(XIII: 278-296).
Springer DOI 1810
BibRef

Mounsef, J., Karam, L.J.,
Augmented Sparse Representation Classifier for Blurred Face Recognition,
ICIP18(778-782)
IEEE DOI 1809
Training, Dictionaries, Face recognition, Distortion, Face, Image recognition, Image quality, SRC, Gaussian blur, VGG-Face BibRef

Huang, H., He, R., Sun, Z., Tan, T.,
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution,
ICCV17(1698-1706)
IEEE DOI 1802
face recognition, image reconstruction, image representation, image resolution, image texture, inference mechanisms, Wavelet packets BibRef

Xu, X., Sun, D., Pan, J., Zhang, Y., Pfister, H., Yang, M.H.,
Learning to Super-Resolve Blurry Face and Text Images,
ICCV17(251-260)
IEEE DOI 1802
image enhancement, image resolution, image restoration, learning (artificial intelligence), text analysis, Kernel BibRef

Knoche, M.[Martin], Merget, D.[Daniel], Rigoll, G.[Gerhard],
Improving Facial Landmark Detection via a Super-Resolution Inception Network,
GCPR17(239-251).
Springer DOI 1711
BibRef

Apicella, A.[Andrea], Isgrò, F.[Francesco], Riccio, D.[Daniel],
Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution,
CIAP17(I:637-647).
Springer DOI 1711
BibRef

Yang, S.[Shuai], Song, S.[Sijie], Guo, Q.K.[Qi-Kun], Lu, X.Q.[Xiao-Qing], Liu, J.Y.[Jia-Ying],
Facial depth map enhancement via neighbor embedding,
ICPR16(1249-1254)
IEEE DOI 1705
Color, Dictionaries, Feature extraction, Image color analysis, Image reconstruction, Image resolution, Reliability BibRef

Zhang, Y.P.[Yi-Ping], Zhang, Z., Hu, G.S.[Guo-Sheng], Hancock, E.R.,
Face image super-resolution via weighted patches regression,
ICPR16(3892-3897)
IEEE DOI 1705
Dictionaries, Entropy, Face, Image reconstruction, Image resolution, Information entropy, Training BibRef

Tian, L.[Lei], Fan, C.X.[Chun-Xiao], Ming, Y.[Yue], Hong, X.P.[Xiao-Peng],
Weighted Non-locally Self-similarity Sparse Representation for Face Deblurring,
SFBA16(I: 576-589).
Springer DOI 1704
BibRef

Saleh, Y., Edirisinghe, E.,
Novel approach to enhance face recognition using depth maps,
WSSIP16(1-4)
IEEE DOI 1608
eigenvalues and eigenfunctions BibRef

Kolouri, S.[Soheil], Rohde, G.K.[Gustavo K.],
Transport-based single frame super resolution of very low resolution face images,
CVPR15(4876-4884)
IEEE DOI 1510
BibRef

Katzir, O.[Oren], Gilboa, G.[Guy],
A maximal interest-point strategy applied to image enhancement with external priors,
ICIP15(1324-1328)
IEEE DOI 1512
external image database BibRef

Li, Y.H.[Yang-Hao], Liu, J.Y.[Jia-Ying], Yang, W.H.[Wen-Han], Guo, Z.M.[Zong-Ming],
Multi-pose face hallucination via neighbor embedding for facial components,
ICIP15(4037-4041)
IEEE DOI 1512
Face hallucination, neighbor embedding, nonlocal means, super resolution BibRef

Juefei-Xu, F.[Felix], Savvides, M.[Marios],
Single Face Image Super-Resolution via Solo Dictionary Learning,
ICIP15(2239-2243)
IEEE DOI 1512
Dictionary Learning, Missing Pixel Problem, Super-Resolution
See also IRIS Super-Resolution via Nonparametric Over-Complete Dictionary Learning. BibRef

Kawai, M.[Masahide], Morishima, S.[Shigeo],
FOCUSING PATCH: Automatic Photorealistic Deblurring for Facial Images by Patch-Based Color Transfer,
MMMod15(I: 155-166).
Springer DOI 1501
BibRef

Darvish, A.M.[Ali Mohammed], Li, H.B.[Hai-Bo], Soderstrom, U.[Ulrik],
Super-resolution Facial Images from Single Input Images Based on Discrete Wavelet Transform,
ICPR14(843-848)
IEEE DOI 1412
Discrete wavelet transforms BibRef

Liu, Y.T.[Yong-Tao], Yan, H.[Hua], Nie, X.S.[Xiu-Shan], Liu, Z.[Zhen],
Face Image Super-Resolution Based on Topology ICA and Sparse Representation,
ICIAR14(I: 104-111).
Springer DOI 1410
BibRef

Chen, X.[Xu], Choudhury, A.[Anustup], van Beek, P.[Peter], Segall, A.[Andrew],
Facial video super resolution using semantic exemplar components,
ICIP15(1314-1318)
IEEE DOI 1512
alignment;face hallucination;super resolution;upscaling BibRef

Choudhury, A., Segall, A.,
Channeling Mr. Potato head: Face super-resolution using semantic components,
Southwest14(157-160)
IEEE DOI 1406
face recognition BibRef

Haque, M.A., Nasrollahi, K., Moeslund, T.B.,
Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera,
AVSS13(443-448)
IEEE DOI 1311
face recognition BibRef

Liu, J.[Jing], Su, G.D.[Guang-Da], Ren, X.L.[Xiao-Long], Chen, J.S.[Jian-Sheng],
Human Face Super-Resolution Based on NSCT,
ACCV12(II:680-693).
Springer DOI 1304
BibRef

Berretti, S.[Stefano], Pala, P.[Pietro], del Bimbo, A.[Alberto],
Increasing 3D Resolution of Kinect Faces,
ChaLearn14(639-653).
Springer DOI 1504
BibRef
Earlier: A1, A3, A2:
Superfaces: A Super-Resolution Model for 3D Faces,
NORDIA12(I: 73-82).
Springer DOI 1210
BibRef

Huang, H.[Hua], Wu, N.[Ning], Fan, X.[Xin], Qi, C.[Chun],
Face image super resolution by linear transformation,
ICIP10(913-916).
IEEE DOI 1009
BibRef

Lan, C.D.[Cheng-Dong], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Wang, Z.Y.[Zhong-Yuan],
A face super-resolution approach using shape semantic mode regularization,
ICIP10(2021-2024).
IEEE DOI 1009
BibRef

Zheng, J.[Jun], Fuentes, O.[Olac],
A Stochastic Method for Face Image Super-Resolution,
ISVC09(I: 762-773).
Springer DOI 0911
BibRef

Cao, Y.[Yang], Li, X.G.[Xiao-Guang], Li, Z.[Zhuo], Shen, L.S.[Lan-Sun],
Textural Adaptive Learning-Based Super Resolution for Human Face Images,
CISP09(1-3).
IEEE DOI 0910
BibRef

Guo, K.[Kai], Yang, X.K.[Xiao-Kang], Zhang, R.[Rui], Zhai, G.T.[Guang-Tao], Yu, S.Y.[Song-Yu],
Face super-resolution using 8-connected Markov Random Fields with embedded prior,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Goto, T.[Tomio], Hirano, S.[Satoshi], Sakurai, M.[Masaru],
Face image processing by TV filter and super-resolution,
VCIP14(245-248)
IEEE DOI 1504
face recognition BibRef

Goto, T.[Tomio], Suzuki, S.[Shotaro], Hirano, S.[Satoshi], Sakurai, M.[Masaru], Nguyen, T.Q.[Truong Q.],
Fast and high quality learning-based super-resolution utilizing TV regularization method,
ICIP11(1185-1188).
IEEE DOI 1201
BibRef

Sakurai, M.[Masaru], Kiriyama, S.[Satoshi], Goto, T.[Tomio], Hirano, S.[Satoshi],
Fast algorithm for total variation minimization,
ICIP11(1461-1464).
IEEE DOI 1201
BibRef

Goto, T., Senshiki, H., Motohashi, S., Chen, H., Aoki, R.,
Blind image restoration utilizing total variation regularization, shock filter and gradient reliability map,
ICIP17(3200-3204)
IEEE DOI 1803
Estimation, Graphics, Image restoration, Pattern recognition, Reliability, Total Variation Regularization BibRef

Sakurai, M.[Masaru], Sakuta, Y., Watanabe, M., Goto, T.[Tomio], Hirano, S.[Satoshi],
Super-resolution utilizing total variation regularization and a shock filter,
ICIP12(2221-2224).
IEEE DOI 1302
BibRef

Yoshikawa, A.[Akihiro], Suzuki, S.[Shotaro], Goto, T.[Tomio], Hirano, S.[Satoshi], Sakurai, M.[Masaru],
Super resolution image reconstruction using total variation regularization and learning-based method,
ICIP10(1993-1996).
IEEE DOI 1009
BibRef

Zhai, G.T.[Guang-Tao], Wu, X.L.[Xiao-Lin],
Hybrid parametric-nonparametric modeling with application to natural image upsampling,
ICIP11(1393-1396).
IEEE DOI 1201
BibRef

Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang],
Image reconstruction from random samples with parametric and nonparametric modeling,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Bilgazyev, E.[Emil], Efraty, B.[Boris], Shah, S.K.[Shishir K.], Kakadiaris, I.A.[Ioannis A.],
Sparse Representation-Based Super Resolution for Face Recognition At a Distance,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier: A1, A3, A4, Only:
Comparative evaluation of wavelet-based super-resolution from video for face recognition at a distance,
FG11(559-565).
IEEE DOI 1103

See also 3D face recognition for partial data using Semi-Coupled Dictionary Learning. BibRef

Fan, W.[Wei], Yeung, D.Y.[Dit-Yan],
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds,
CVPR07(1-7).
IEEE DOI 0706
Focus on super-resolution. Using small image patches, synthesize higher-quality images. Almost inpainting. BibRef

Yu, J.G.[Jian-Gang], Bhanu, B.[Bir], Xu, Y.L.[Yi-Lei], Roy-Chowdhury, A.K.[Amit K.],
Super-Resolved Facial Texture Under Changing Pose and Illumination,
ICIP07(III: 553-556).
IEEE DOI 0709
BibRef

Yu, J.G.[Jian-Gang], Bhanu, B.[Bir], Thakoor, N.S.[Ninad S.],
Face recognition in video with closed-loop super-resolution,
Biometrics11(39-45).
IEEE DOI 1106
BibRef

Yu, J.G.[Jian-Gang], Bhanu, B.[Bir],
Super-Resolution of Facial Images in Video with Expression Changes,
AVSBS08(184-191).
IEEE DOI 0809
BibRef
And:
Super-resolution of deformed facial images in video,
ICIP08(1160-1163).
IEEE DOI 0810
BibRef
Earlier:
Super-resolution Restoration of Facial Images in Video,
ICPR06(IV: 342-345).
IEEE DOI 0609

See also Evolutionary feature synthesis for facial expression recognition. BibRef

Den Hollander, R., de Lange, D.J.J., Schutte, K.,
Super-resolution of faces using the epipolar constraint,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Huang, H.[Hua], Fan, X.[Xin], Qi, C.[Chun], Zhu, S.H.[Shi-Hua],
A Bayesian Estimation Approach to Super-Resolution Reconstruction for Face Images,
IWICPAS06(406-415).
Springer DOI 0608
BibRef

Park, J.S.[Jeong-Seon], Lee, S.W.[Seong-Whan],
Resolution enhancement of facial image using an error back-projection of example-based learning,
AFGR04(831-836).
IEEE Abstract. 0411
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution using Wavelets .


Last update:Oct 22, 2024 at 22:09:59