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.
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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
BibRef
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
Earlier:
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
BibRef
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
BibRef
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
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 .