-
1
-
-
85081997770
-
Towards principled methods for training generative adversarial networks
-
M. Arjovsky and L. Bottou. Towards principled methods for training generative adversarial networks. In ICLR, 2017.
-
(2017)
ICLR
-
-
Arjovsky, M.1
Bottou, L.2
-
2
-
-
85088232940
-
Neural photo editing with introspective adversarial networks
-
A. Brock, T. Lim, J. M. Ritchie, and N. Weston. Neural photo editing with introspective adversarial networks. In ICLR, 2017.
-
(2017)
ICLR
-
-
Brock, A.1
Lim, T.2
Ritchie, J.M.3
Weston, N.4
-
3
-
-
85076734701
-
Mode regularized generative adversarial networks
-
T. Che, Y. Li, A. P. Jacob, Y. Bengio, and W. Li. Mode regularized generative adversarial networks. In ICLR, 2017.
-
(2017)
ICLR
-
-
Che, T.1
Li, Y.2
Jacob, A.P.3
Bengio, Y.4
Li, W.5
-
4
-
-
85019228440
-
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
-
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel. Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In NIPS, 2016.
-
(2016)
NIPS
-
-
Chen, X.1
Duan, Y.2
Houthooft, R.3
Schulman, J.4
Sutskever, I.5
Abbeel, P.6
-
5
-
-
84965143571
-
Deep generative image models using a laplacian pyramid of adversarial networks
-
E. L. Denton, S. Chintala, A. Szlam, and R. Fergus. Deep generative image models using a laplacian pyramid of adversarial networks. In NIPS, 2015.
-
(2015)
NIPS
-
-
Denton, E.L.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
8
-
-
84937849144
-
Generative adversarial nets
-
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. C. Courville, and Y. Bengio. Generative adversarial nets. In NIPS, 2014.
-
(2014)
NIPS
-
-
Goodfellow, I.J.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.C.7
Bengio, Y.8
-
9
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In CVPR, 2016.
-
(2016)
CVPR
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
10
-
-
85041903901
-
Stacked generative adversarial networks
-
X. Huang, Y. Li, O. Poursaeed, J. Hopcroft, and S. Belongie. Stacked generative adversarial networks. In CVPR, 2017.
-
(2017)
CVPR
-
-
Huang, X.1
Li, Y.2
Poursaeed, O.3
Hopcroft, J.4
Belongie, S.5
-
11
-
-
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 ICML, 2015.
-
(2015)
ICML
-
-
Ioffe, S.1
Szegedy, C.2
-
12
-
-
85030759098
-
Image-to-image translation with conditional adversarial networks
-
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros. Image-to-image translation with conditional adversarial networks. In CVPR, 2017.
-
(2017)
CVPR
-
-
Isola, P.1
Zhu, J.-Y.2
Zhou, T.3
Efros, A.A.4
-
13
-
-
85083952489
-
Auto-encoding variational bayes
-
D. P. Kingma and M. Welling. Auto-encoding variational bayes. In ICLR, 2014.
-
(2014)
ICLR
-
-
Kingma, D.P.1
Welling, M.2
-
15
-
-
85035231525
-
Photo-realistic single image super-resolution using a generative adversarial network
-
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi. Photo-realistic single image super-resolution using a generative adversarial network. In CVPR, 2017.
-
(2017)
CVPR
-
-
Ledig, C.1
Theis, L.2
Huszar, F.3
Caballero, J.4
Aitken, A.5
Tejani, A.6
Totz, J.7
Wang, Z.8
Shi, W.9
-
16
-
-
84937834115
-
Microsoft coco: Common objects in context
-
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollr, and C. L. Zitnick. Microsoft coco: Common objects in context. In ECCV, 2014.
-
(2014)
ECCV
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollr, P.7
Zitnick, C.L.8
-
20
-
-
85041919547
-
Plug & play generative networks: Conditional iterative generation of images in latent space
-
A. Nguyen, J. Yosinski, Y. Bengio, A. Dosovitskiy, and J. Clune. Plug & play generative networks: Conditional iterative generation of images in latent space. In CVPR, 2017.
-
(2017)
CVPR
-
-
Nguyen, A.1
Yosinski, J.2
Bengio, Y.3
Dosovitskiy, A.4
Clune, J.5
-
21
-
-
65249121810
-
Automated flower classification over a large number of classes
-
M.-E. Nilsback and A. Zisserman. Automated flower classification over a large number of classes. In ICCVGIP, 2008.
-
(2008)
ICCVGIP
-
-
Nilsback, M.-E.1
Zisserman, A.2
-
22
-
-
85041893734
-
Conditional image synthesis with auxiliary classifier gans
-
A. Odena, C. Olah, and J. Shlens. Conditional image synthesis with auxiliary classifier gans. In ICML, 2017.
-
(2017)
ICML
-
-
Odena, A.1
Olah, C.2
Shlens, J.3
-
23
-
-
85083950271
-
Unsupervised representation learning with deep convolutional generative adversarial networks
-
A. Radford, L. Metz, and S. Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks. In ICLR, 2016.
-
(2016)
ICLR
-
-
Radford, A.1
Metz, L.2
Chintala, S.3
-
24
-
-
85018890661
-
Learning what and where to draw
-
S. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee. Learning what and where to draw. In NIPS, 2016.
-
(2016)
NIPS
-
-
Reed, S.1
Akata, Z.2
Mohan, S.3
Tenka, S.4
Schiele, B.5
Lee, H.6
-
25
-
-
84986250442
-
Learning deep representations of fine-grained visual descriptions
-
S. Reed, Z. Akata, B. Schiele, and H. Lee. Learning deep representations of fine-grained visual descriptions. In CVPR, 2016.
-
(2016)
CVPR
-
-
Reed, S.1
Akata, Z.2
Schiele, B.3
Lee, H.4
-
26
-
-
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 ICML, 2016.
-
(2016)
ICML
-
-
Reed, S.1
Akata, Z.2
Yan, X.3
Logeswaran, L.4
Schiele, B.5
Lee, H.6
-
27
-
-
85038447381
-
-
Technical report
-
S. Reed, A. van den Oord, N. Kalchbrenner, V. Bapst, M. Botvinick, and N. de Freitas. Generating interpretable images with controllable structure. Technical report, 2016.
-
(2016)
Generating Interpretable Images with Controllable Structure
-
-
Reed, S.1
Oord Den Van, A.2
Kalchbrenner, N.3
Bapst, V.4
Botvinick, M.5
De Freitas, N.6
-
28
-
-
84919796093
-
Stochastic backpropagation and approximate inference in deep generative models
-
D. J. Rezende, S. Mohamed, and D. Wierstra. Stochastic backpropagation and approximate inference in deep generative models. In ICML, 2014.
-
(2014)
ICML
-
-
Rezende, D.J.1
Mohamed, S.2
Wierstra, D.3
-
29
-
-
85018875486
-
Improved techniques for training gans
-
T. Salimans, I. J. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen. Improved techniques for training gans. In NIPS, 2016.
-
(2016)
NIPS
-
-
Salimans, T.1
Goodfellow, I.J.2
Zaremba, W.3
Cheung, V.4
Radford, A.5
Chen, X.6
-
30
-
-
84986296808
-
Rethinking the inception architecture for computer vision
-
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna. Rethinking the inception architecture for computer vision. In CVPR, 2016.
-
(2016)
CVPR
-
-
Szegedy, C.1
Vanhoucke, V.2
Ioffe, S.3
Shlens, J.4
Wojna, Z.5
-
31
-
-
85081923574
-
Amortised map inference for image super-resolution
-
C. K. Snderby, J. Caballero, L. Theis, W. Shi, and F. Huszar. Amortised map inference for image super-resolution. In ICLR, 2017.
-
(2017)
ICLR
-
-
Snderby, C.K.1
Caballero, J.2
Theis, L.3
Shi, W.4
Huszar, F.5
-
32
-
-
85088231360
-
Unsupervised crossdomain image generation
-
Y. Taigman, A. Polyak, and L. Wolf. Unsupervised crossdomain image generation. In ICLR, 2017.
-
(2017)
ICLR
-
-
Taigman, Y.1
Polyak, A.2
Wolf, L.3
-
34
-
-
85018873682
-
Conditional image generation with pixelcnn decoders
-
A. van den Oord, N. Kalchbrenner, O. Vinyals, L. Espeholt, A. Graves, and K. Kavukcuoglu. Conditional image generation with pixelcnn decoders. In NIPS, 2016.
-
(2016)
NIPS
-
-
Oord Den Van, A.1
Kalchbrenner, N.2
Vinyals, O.3
Espeholt, L.4
Graves, A.5
Kavukcuoglu, K.6
-
35
-
-
84878084353
-
-
Technical Report CNS-TR-2011-001, California Institute of Technology
-
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, California Institute of Technology, 2011.
-
(2011)
The Caltech-UCSD Birds-200-2011 Dataset
-
-
Wah, C.1
Branson, S.2
Welinder, P.3
Perona, P.4
Belongie, S.5
-
36
-
-
84990022453
-
Generative image modeling using style and structure adversarial networks
-
X. Wang and A. Gupta. Generative image modeling using style and structure adversarial networks. In ECCV, 2016.
-
(2016)
ECCV
-
-
Wang, X.1
Gupta, A.2
-
37
-
-
85018933379
-
Attribute2image: Conditional image generation from visual attributes
-
X. Yan, J. Yang, K. Sohn, and H. Lee. Attribute2image: Conditional image generation from visual attributes. In ECCV, 2016.
-
(2016)
ECCV
-
-
Yan, X.1
Yang, J.2
Sohn, K.3
Lee, H.4
-
38
-
-
85087518435
-
Energy-based generative adversarial network
-
J. Zhao, M. Mathieu, and Y. LeCun. Energy-based generative adversarial network. In ICLR, 2017.
-
(2017)
ICLR
-
-
Zhao, J.1
Mathieu, M.2
LeCun, Y.3
-
39
-
-
85030465393
-
Generative visual manipulation on the natural image manifold
-
J. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros. Generative visual manipulation on the natural image manifold. In ECCV, 2016.
-
(2016)
ECCV
-
-
Zhu, J.1
Krähenbühl, P.2
Shechtman, E.3
Efros, A.A.4
|