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Generative Adversarial Networks (GANs) have obtained extraordinary success in the generation of realistic images, a domain where a lower pixel-level accuracy is acceptable.
Multiscale structural similarity for image quality assessment
Wang, Z., Simoncelli, E. P., and Bovik, A. C · 2003
Earlier work this paper cites.
Spatial pattern templates for recognition of objects with regular structure
Tyleček, R. and Šára, R · 2013
Earlier work this paper cites.
Generative Adversarial Networks
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
Earlier work this paper cites.
Conditional Generative Adversarial Nets
Mirza, M. and Osindero, S · 2014
Earlier work this paper cites.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Radford, A., Metz, L., and Chintala, S · 2015
Earlier work this paper cites.
Going deeper with convolutions
Szegedy, C., Wei Liu, Yangqing Jia, Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A · 2015
Earlier work this paper cites.
The Cityscapes Dataset for Semantic Urban Scene Understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., and Schiele, B · 2016
Cited alongside, same era.
Adversarial Feature Learning
Donahue, J., Krähenbühl, P., and Darrell, T · 2016
Cited alongside, same era.
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2016
Cited alongside, same era.
Semantic Segmentation using Adversarial Networks
Luc, P., Couprie, C., Chintala, S., and Verbeek, J · 2016
Cited alongside, same era.
Improved Techniques for Training GANs
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., and Chen, X · 2016
Cited alongside, same era.
Towards Principled Methods for Training Generative Adversarial Networks
Arjovsky, M. and Bottou, L · 2017
Cited alongside, same era.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., and Hochreiter, S · 2017
Later among the works it cites.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T., Aila, T., Laine, S., and Lehtinen, J · 2017
Later among the works it cites.
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A · 2017
Later among the works it cites.
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Donahue, C., Lipton, Z. C., Balsubramani, A., and McAuley, J · 2018
Later among the works it cites.
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Liu, R., Lehman, J., Molino, P., Such, F. P., Frank, E., Sergeev, A., and Yosinski, J · 2018
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Which Training Methods for GANs do actually Converge?
Mescheder, L., Geiger, A., and Nowozin, S · 2018
Later among the works it cites.