-
5
-
-
85041900982
-
Adversarially learned inference
-
V. Dumoulin, I. Belghazi, B. Poole, A. Lamb, M. Arjovsky, O. Mastropietro, and A. Courville. Adversarially learned inference. In International Conference on Learning Representations (ICLR), 2017.
-
(2017)
International Conference on Learning Representations (ICLR)
-
-
Dumoulin, V.1
Belghazi, I.2
Poole, B.3
Lamb, A.4
Arjovsky, M.5
Mastropietro, O.6
Courville, A.7
-
8
-
-
85035227078
-
Controlling perceptual factors in neural style transfer
-
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman. Controlling perceptual factors in neural style transfer. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
-
(2017)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Gatys, L.A.1
Ecker, A.S.2
Bethge, M.3
Hertzmann, A.4
Shechtman, E.5
-
9
-
-
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 27, pages 2672-2680. 2014.
-
(2014)
Advances in Neural Information Processing Systems
, vol.27
, 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
-
10
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770-778, 2016.
-
(2016)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
11
-
-
0035148669
-
Image analogies
-
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin. Image analogies. In ACM SIGGRAPH, pages 327-340, 1998.
-
(1998)
ACM SIGGRAPH
, pp. 327-340
-
-
Hertzmann, A.1
Jacobs, C.E.2
Oliver, N.3
Curless, B.4
Salesin, D.H.5
-
12
-
-
84902199435
-
Parametric meta-filter modeling from a single example pair
-
S.-S. Huang, G.-X. Zhang, Y.-K. Lai, J. Kopf, D. Cohen-Or, and S.-M. Hu. Parametric meta-filter modeling from a single example pair. The Visual Computer, 30 (6-8): 673-684.
-
The Visual Computer
, vol.30
, Issue.6-8
, pp. 673-684
-
-
Huang, S.-S.1
Zhang, G.-X.2
Lai, Y.-K.3
Kopf, J.4
Cohen-Or, D.5
Hu, S.-M.6
-
13
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning, pages 448-456, 2015.
-
(2015)
International Conference on Machine Learning
, pp. 448-456
-
-
Ioffe, S.1
Szegedy, C.2
-
18
-
-
0030737097
-
Face recognition: A convolutional neural-network approach
-
S. Lawrence, C. L. Giles, A. C. Tsoi, and A. D. Back. Face recognition: A convolutional neural-network approach. IEEE Transactions on Neural Networks, 8 (1): 98-113, 1997.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.1
, pp. 98-113
-
-
Lawrence, S.1
Giles, C.L.2
Tsoi, A.C.3
Back, A.D.4
-
19
-
-
85035231525
-
Photo-realistic single image super-resolution using a generative adversarial network
-
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. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
-
(2017)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
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
-
21
-
-
85030765921
-
Visual attribute transfer through deep image analogy
-
J. Liao, Y. Yao, L. Yuan, G. Hua, and S. B. Kang. Visual attribute transfer through deep image analogy. ACM Transactions on Graphics, 36 (4): 120, 2017.
-
(2017)
ACM Transactions on Graphics
, vol.36
, Issue.4
, pp. 120
-
-
Liao, J.1
Yao, Y.2
Yuan, L.3
Hua, G.4
Kang, S.B.5
-
24
-
-
84998636515
-
Generative adversarial text to image synthesis
-
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee. Generative adversarial text to image synthesis. In International Conference on Machine Learning, 2016.
-
(2016)
International Conference on Machine Learning
-
-
Reed, S.1
Akata, Z.2
Yan, X.3
Logeswaran, L.4
Schiele, B.5
Lee, H.6
-
27
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115 (3): 211-252, 2015.
-
(2015)
International Journal of Computer Vision
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
-
28
-
-
0025474105
-
Comprehensible rendering of 3-d shapes
-
T. Saito and T. Takahashi. Comprehensible rendering of 3-D shapes. In ACM SIGGRAPH, volume 24, pages 197-206, 1990.
-
(1990)
ACM SIGGRAPH
, vol.24
, pp. 197-206
-
-
Saito, T.1
Takahashi, T.2
-
29
-
-
84979964959
-
Learning to simplify: Fully convolutional neural networks for rough sketch cleanup
-
E. Simo-Serra, S. Iizuka, K. Sasaki, and H. Ishikawa. Learning to simplify: Fully convolutional neural networks for rough sketch cleanup. ACM Transactions on Graphics, 35 (4): 121, 2016.
-
(2016)
ACM Transactions on Graphics
, vol.35
, Issue.4
, pp. 121
-
-
Simo-Serra, E.1
Iizuka, S.2
Sasaki, K.3
Ishikawa, H.4
-
31
-
-
84937522268
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1-9, 2015.
-
(2015)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1-9
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
32
-
-
12844281743
-
Video tooning
-
J. Wang, Y. Xu, H.-Y. Shum, and M. F. Cohen. Video tooning. ACM Transactions on Graphics, 23 (3): 574-583, 2004.
-
(2004)
ACM Transactions on Graphics
, vol.23
, Issue.3
, pp. 574-583
-
-
Wang, J.1
Xu, Y.2
Shum, H.-Y.3
Cohen, M.F.4
-
33
-
-
33749264957
-
Real-time video abstraction
-
H. Winnemöller, S. C. Olsen, and B. Gooch. Real-time video abstraction. ACM Transactions on Graphics, 25 (3): 1221-1226, 2006.
-
(2006)
ACM Transactions on Graphics
, vol.25
, Issue.3
, pp. 1221-1226
-
-
Winnemöller, H.1
Olsen, S.C.2
Gooch, B.3
-
34
-
-
85016159876
-
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
-
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum. Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling. In Advances in Neural Information Processing Systems, pages 82-90, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 82-90
-
-
Wu, J.1
Zhang, C.2
Xue, T.3
Freeman, B.4
Tenenbaum, J.5
-
35
-
-
84981551273
-
Image smoothing via l0 gradient minimization
-
L. Xu, C. Lu, Y. Xu, and J. Jia. Image smoothing via L0 gradient minimization. ACM Transactions on Graphics, 30 (6): 174, 2011.
-
(2011)
ACM Transactions on Graphics
, vol.30
, Issue.6
, pp. 174
-
-
Xu, L.1
Lu, C.2
Xu, Y.3
Jia, J.4
-
36
-
-
78651083713
-
Semanticsdriven portrait cartoon stylization
-
M. Yang, S. Lin, P. Luo, L. Lin, and H. Chao. Semanticsdriven portrait cartoon stylization. In International Conference on Image Processing, 2010.
-
(2010)
International Conference on Image Processing
-
-
Yang, M.1
Lin, S.2
Luo, P.3
Lin, L.4
Chao, H.5
-
37
-
-
85013877252
-
-
R. Yeh, C. Chen, T. Y. Lim, M. Hasegawa-Johnson, and M. N. Do. Semantic image inpainting with perceptual and contextual losses. ArXiv preprint arXiv: 1607. 07539, 2016.
-
(2016)
Semantic Image Inpainting with Perceptual and Contextual Losses
-
-
Yeh, R.1
Chen, C.2
Lim, T.Y.3
Hasegawa-Johnson, M.4
Do, M.N.5
|