Fetching the paper…
Reading the bibliography…
Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades.
Color transfer between images
E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley · 2001
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
Earlier work this paper cites.
Geometric context from a single image
D. Hoiem, A. A. Efros, and M. Hebert · 2005
Earlier work this paper cites.
Putting objects in perspective
D. Hoiem, A. A. Efros, and M. Hebert · 2008
Earlier work this paper cites.
Patchmatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman · 2009
Earlier work this paper cites.
Blocks world revisited: Image understanding using qualitative geometry and mechanics
A. Gupta, A. A. Efros, and M. Hebert · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Layered object models for image segmentation
Y. Yang, S. Hallman, D. Ramanan, and C. C. Fowlkes · 2012
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, et al · 2015
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Cited alongside, same era.
Semi-supervised learning with context-conditional generative adversarial networks
E. Denton, S. Gross, and R. Fergus · 2016
Cited alongside, same era.
Sift flow: Dense correspondence across scenes and its applications
C. Liu, J. Yuen, and A. Torralba · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 2016
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
Cited alongside, same era.
Learning what and where to draw
Generative face completion
Y. Li, S. Liu, J. Yang, and M.-H. Yang · 2017
Later among the works it cites.
Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
Later among the works it cites.
Scribbler: Controlling deep image synthesis with sketch and color
P. Sangkloy, J. Lu, C. Fang, F. Yu, and J. Hays · 2017
Later among the works it cites.
High-resolution image synthesis and semantic manipulation with conditional gans
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2017
Later among the works it cites.
Lr-gan: Layered recursive generative adversarial networks for image generation
J. Yang, A. Kannan, D. Batra, and D. Parikh · 2017
Later among the works it cites.
Semantic image inpainting with deep generative models
R. A. Yeh, C. Chen, T. Y. Lim, A. G. Schwing, M. Hasegawa-Johnson, and M. N. Do · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
S. E. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee · 2016
Cited alongside, same era.
Generating videos with scene dynamics
C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
Cited alongside, same era.
Attribute2image: Conditional image generation from visual attributes
X. Yan, J. Yang, K. Sohn, and H. Lee · 2016
Cited alongside, same era.
Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
Cited alongside, same era.
Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Later among the works it cites.
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
Later among the works it cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Later among the works it cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
Closest in time.
Inferring semantic layout for hierarchical text-to-image synthesis
S. Hong, D. Yang, J. Choi, and H. Lee · 2018
Closest in time.
Texturegan: Controlling deep image synthesis with texture patches
W. Xian, P. Sangkloy, J. Lu, C. Fang, F. Yu, and J. Hays · 2018
Closest in time.