-
3
-
-
84906484697
-
Learning a deep convolutional network for image super-resolution
-
Springer
-
C. Dong, C. C. Loy, K. He, and X. Tang. Learning a deep convolutional network for image super-resolution. In European Conference on Computer Vision, pages 184-199. Springer, 2014.
-
(2014)
European Conference on Computer Vision
, pp. 184-199
-
-
Dong, C.1
Loy, C.C.2
He, K.3
Tang, X.4
-
4
-
-
84990837045
-
Accelerating the superresolution convolutional neural network
-
Springer
-
C. Dong, C. C. Loy, and X. Tang. Accelerating the superresolution convolutional neural network. In European Conference on Computer Vision, pages 391-407. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 391-407
-
-
Dong, C.1
Loy, C.C.2
Tang, X.3
-
5
-
-
0018506597
-
Lanczos filtering in one and two dimensions
-
C. E. Duchon. Lanczos filtering in one and two dimensions. Journal of Applied Meteorology, 18 (8):1016-1022, 1979.
-
(1979)
Journal of Applied Meteorology
, vol.18
, Issue.8
, pp. 1016-1022
-
-
Duchon, C.E.1
-
6
-
-
36949039914
-
Image upsampling via imposed edge statistics
-
ACM
-
R. Fattal. Image upsampling via imposed edge statistics. In ACM Transactions on Graphics (TOG), volume 26, page 95. ACM, 2007.
-
(2007)
ACM Transactions on Graphics (TOG)
, vol.26
, pp. 95
-
-
Fattal, R.1
-
7
-
-
79955668981
-
Image and video upscaling from local self-examples
-
G. Freedman and R. Fattal. Image and video upscaling from local self-examples. ACM Transactions on Graphics (TOG), 30 (2):12, 2011.
-
(2011)
ACM Transactions on Graphics (TOG)
, vol.30
, Issue.2
, pp. 12
-
-
Freedman, G.1
Fattal, R.2
-
8
-
-
0036500772
-
Examplebased super-resolution
-
W. T. Freeman, T. R. Jones, and E. C. Pasztor. Examplebased super-resolution. IEEE Computer graphics and Applications, 22 (2):56-65, 2002.
-
(2002)
IEEE Computer Graphics and Applications
, vol.22
, Issue.2
, pp. 56-65
-
-
Freeman, W.T.1
Jones, T.R.2
Pasztor, E.C.3
-
9
-
-
77953187337
-
Super-resolution from a single image
-
IEEE
-
D. Glasner, S. Bagon, and M. Irani. Super-resolution from a single image. In Computer Vision, 2009 IEEE 12th International Conference on, pages 349-356. IEEE, 2009.
-
(2009)
Computer Vision, 2009 IEEE 12th International Conference on
, pp. 349-356
-
-
Glasner, D.1
Bagon, S.2
Irani, M.3
-
10
-
-
84937849144
-
Generative adversarial nets
-
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Generative adversarial nets. In Advances in neural information processing systems, pages 2672-2680, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 2672-2680
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
11
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 770-778, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
14
-
-
84990854047
-
Perceptual losses for real-time style transfer and super-resolution
-
Springer
-
J. Johnson, A. Alahi, and L. Fei-Fei. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision, pages 694-711. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 694-711
-
-
Johnson, J.1
Alahi, A.2
Fei-Fei, L.3
-
18
-
-
85019017178
-
-
arXiv preprint arXiv:1609. 04802
-
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al. Photo-realistic single image super-resolution using a generative adversarial network. arXiv preprint arXiv:1609. 04802, 2016.
-
(2016)
Photo-realistic Single Image Super-resolution Using A Generative Adversarial Network
-
-
Ledig, C.1
Theis, L.2
Huszár, F.3
Caballero, J.4
Cunningham, A.5
Acosta, A.6
Aitken, A.7
Tejani, A.8
Totz, J.9
Wang, Z.10
-
19
-
-
85016071159
-
Learning a mixture of deep networks for single image super-resolution
-
D. Liu, Z. Wang, N. Nasrabadi, and T. S. Huang. Learning a mixture of deep networks for single image super-resolution. In ACCV, pages 145-156, 2016.
-
(2016)
ACCV
, pp. 145-156
-
-
Liu, D.1
Wang, Z.2
Nasrabadi, N.3
Huang, T.S.4
-
20
-
-
84971529522
-
Robust single image super-resolution via deep networks with sparse prior
-
D. Liu, Z. Wang, B. Wen, J. Yang, W. Han, and T. S. Huang. Robust single image super-resolution via deep networks with sparse prior. IEEE Transactions on Image Processing, 25 (7):3194-3207, 2016.
-
(2016)
IEEE Transactions on Image Processing
, vol.25
, Issue.7
, pp. 3194-3207
-
-
Liu, D.1
Wang, Z.2
Wen, B.3
Yang, J.4
Han, W.5
Huang, T.S.6
-
21
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
July
-
D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In Proc. 8th Int'l Conf. Computer Vision, volume 2, pages 416-423, July 2001.
-
(2001)
Proc. 8th Int'l Conf. Computer Vision
, vol.2
, pp. 416-423
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
22
-
-
85029586812
-
Deconvolution and checkerboard artifacts
-
A. Odena, V. Dumoulin, and C. Olah. Deconvolution and checkerboard artifacts. Distill, 2016.
-
(2016)
Distill
-
-
Odena, A.1
Dumoulin, V.2
Olah, C.3
-
23
-
-
85018873682
-
Conditional image generation with pixelcnn decoders
-
A. v. d. Oord, N. Kalchbrenner, L. Espeholt, O. Vinyals, A. Graves, et al. Conditional image generation with pixelcnn decoders. In Advances in Neural Information Processing Systems, pages 4790-4798, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 4790-4798
-
-
Oord A, V.D.1
Kalchbrenner, N.2
Espeholt, L.3
Vinyals, O.4
Graves, A.5
-
27
-
-
85017457992
-
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
-
T. Salimans and D. P. Kingma. Weight normalization: A simple reparameterization to accelerate training of deep neural networks. In Advances in Neural Information Processing Systems, pages 901-901, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 901
-
-
Salimans, T.1
Kingma, D.P.2
-
30
-
-
84986308391
-
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
-
W. Shi, J. Caballero, F. Huszár, J. Totz, A. P. Aitken, R. Bishop, D. Rueckert, and Z. Wang. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1874-1883, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1874-1883
-
-
Shi, W.1
Caballero, J.2
Huszár, F.3
Totz, J.4
Aitken, A.P.5
Bishop, R.6
Rueckert, D.7
Wang, Z.8
-
31
-
-
85030256165
-
-
arXiv preprint arXiv:1610. 04490
-
C. K. Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár. Amortised map inference for image super-resolution. arXiv preprint arXiv:1610. 04490, 2016.
-
(2016)
Amortised Map Inference for Image Super-resolution
-
-
Sønderby, C.K.1
Caballero, J.2
Theis, L.3
Shi, W.4
Huszár, F.5
-
32
-
-
79957490936
-
Gradient profile prior and its applications in image super-resolution and enhancement
-
J. Sun, Z. Xu, and H.-Y. Shum. Gradient profile prior and its applications in image super-resolution and enhancement. IEEE Transactions on Image Processing, 20 (6):1529-1542, 2011.
-
(2011)
IEEE Transactions on Image Processing
, vol.20
, Issue.6
, pp. 1529-1542
-
-
Sun, J.1
Xu, Z.2
Shum, H.-Y.3
-
33
-
-
85030220122
-
Ntire 2017 challenge on single image superresolution: Methods and results
-
July
-
R. Timofte, E. Agustsson, L. Van Gool, M.-H. Yang, L. Zhang, et al. Ntire 2017 challenge on single image superresolution: Methods and results. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, July 2017.
-
(2017)
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
-
-
Timofte, R.1
Agustsson, E.2
Van Gool, L.3
Yang, M.-H.4
Zhang, L.5
-
35
-
-
84983684720
-
A+: Adjusted anchored neighborhood regression for fast super-resolution
-
Springer
-
R. Timofte, V. De Smet, and L. Van Gool. A+: Adjusted anchored neighborhood regression for fast super-resolution. In Asian Conference on Computer Vision, pages 111-126. Springer, 2014.
-
(2014)
Asian Conference on Computer Vision
, pp. 111-126
-
-
Timofte, R.1
De Smet, V.2
Van Gool, L.3
-
37
-
-
84973897612
-
Deep networks for image super-resolution with sparse prior
-
Z. Wang, D. Liu, J. Yang, W. Han, and T. Huang. Deep networks for image super-resolution with sparse prior. In Proceedings of the IEEE International Conference on Computer Vision, pages 370-378, 2015.
-
(2015)
Proceedings of the IEEE International Conference on Computer Vision
, pp. 370-378
-
-
Wang, Z.1
Liu, D.2
Yang, J.3
Han, W.4
Huang, T.5
-
38
-
-
85030222759
-
Sparse coding and its applications in computer vision
-
Z. Wang, J. Yang, H. Zhang, Z. Wang, Y. Yang, D. Liu, and T. S. Huang. Sparse Coding and its Applications in Computer Vision. World Scientific, 2015.
-
(2015)
World Scientific
-
-
Wang, Z.1
Yang, J.2
Zhang, H.3
Wang, Z.4
Yang, Y.5
Liu, D.6
Huang, T.S.7
-
39
-
-
84939788770
-
Learning super-resolution jointly from external and internal examples
-
Z. Wang, Y. Yang, Z. Wang, S. Chang, J. Yang, and T. S. Huang. Learning super-resolution jointly from external and internal examples. IEEE Transactions on Image Processing, 24 (11):4359-4371, 2015.
-
(2015)
IEEE Transactions on Image Processing
, vol.24
, Issue.11
, pp. 4359-4371
-
-
Wang, Z.1
Yang, Y.2
Wang, Z.3
Chang, S.4
Yang, J.5
Huang, T.S.6
-
41
-
-
84864128043
-
Coupled dictionary training for image super-resolution
-
J. Yang, Z. Wang, Z. Lin, S. Cohen, and T. Huang. Coupled dictionary training for image super-resolution. IEEE Transactions on Image Processing, 21 (8):3467-3478, 2012.
-
(2012)
IEEE Transactions on Image Processing
, vol.21
, Issue.8
, pp. 3467-3478
-
-
Yang, J.1
Wang, Z.2
Lin, Z.3
Cohen, S.4
Huang, T.5
-
42
-
-
78049312324
-
Image superresolution via sparse representation
-
J. Yang, J. Wright, T. S. Huang, and Y. Ma. Image superresolution via sparse representation. IEEE transactions on image processing, 19 (11):2861-2873, 2010.
-
(2010)
IEEE Transactions on Image Processing
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.S.3
Ma, Y.4
|