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Humans can only interact with part of the surrounding environment due to biological restrictions.
Generative adversarial nets
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. C., and Bengio, Y · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
Mirza, M. and Osindero, S · 2014
Earlier work this paper cites.
Deep learning face attributes in the wild
Liu, Z., Luo, P., Wang, X., and Tang, X · 2015
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.
LSUN: construction of a large-scale image dataset using deep learning with humans in the loop
Yu, F., Zhang, Y., Song, S., Seff, A., and Xiao, J · 2015
Earlier work this paper cites.
A learned representation for artistic style
Dumoulin, V., Shlens, J., and Kudlur, M · 2016
Earlier work this paper cites.
Pixel recurrent neural networks
van den Oord, A., Kalchbrenner, N., and Kavukcuoglu, K · 2016
Earlier work this paper cites.
Sampling generative networks: Notes on a few effective techniques
White, T · 2016
Earlier work this paper cites.
Wasserstein generative adversarial networks
Arjovsky, M., Chintala, S., and Bottou, L · 2017
Earlier work this paper cites.
Matterport3d: Learning from RGB-D data in indoor environments
Chang, A. X., Dai, A., Funkhouser, T. A., Halber, M., Nießner, M., Savva, M., Song, S., Zeng, A., and Zhang, Y · 2017
Earlier work this paper cites.
Optimal set of 360-degree videos for viewport-adaptive streaming
Corbillon, X., Devlic, A., Simon, G., and Chakareski, J · 2017
Earlier work this paper cites.
Viewport-adaptive navigable 360-degree video delivery
Corbillon, X., Simon, G., Devlic, A., and Chakareski, J · 2017
Cited alongside, same era.
Modulating early visual processing by language
de Vries, H., Strub, F., Mary, J., Larochelle, H., Pietquin, O., and Courville, A. C · 2017
Cited alongside, same era.
Adversarial feature learning
Donahue, J., Krähenbühl, P., and Darrell, T · 2017
Cited alongside, same era.
Adversarially learned inference
Dumoulin, V., Belghazi, I., Poole, B., Lamb, A., Arjovsky, M., Mastropietro, O., and Courville, A · 2017
Cited alongside, same era.
Improved training of wasserstein gans
Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., and Courville, A. C · 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
Cited alongside, same era.
Semantic image inpainting with deep generative models
Yeh, R. A., Chen, C., Lim, T., Schwing, A. G., Hasegawa-Johnson, M., and Do, M. N · 2017
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Escaping from collapsing modes in a constrained space
Chang, C.-C., Hubert Lin, C., Lee, C.-R., Juan, D.-C., Wei, W., and Chen, H.-T · 2018
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Cube padding for weakly-supervised saliency prediction in 360° videos
Cheng, H.-T., Chao, C.-H., Dong, J.-D., Wen, H.-K., Liu, T.-L., and Sun, M · 2018
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Introvae: Introspective variational autoencoders for photographic image synthesis
Huang, H., Li, Z., He, R., Sun, Z., and Tan, T · 2018
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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?
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Progressive growing of gans for improved quality, stability, and variation
Karras, T., Aila, T., Laine, S., and Lehtinen, J · 2017
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier gans
Odena, A., Olah, C., and Shlens, J · 2017
Cited alongside, same era.
Viewport-aware adaptive 360
Ozcinar, C., Abreu, A. D., and Smolic, A · 2017
Cited alongside, same era.
Learning from simulated and unsupervised images through adversarial training
Shrivastava, A., Pfister, T., Tuzel, O., Susskind, J., Wang, W., and Webb, R · 2017
Cited alongside, same era.
High-resolution image synthesis and semantic manipulation with conditional gans
Wang, T., Liu, M., Zhu, J., Tao, A., Kautz, J., and Catanzaro, B · 2017
Cited alongside, same era.
High-resolution image inpainting using multi-scale neural patch synthesis
Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., and Li, H · 2017
Cited alongside, same era.
Mescheder, L. M., Geiger, A., and Nowozin, S · 2018
Later among the works it cites.
cgans with projection discriminator
Miyato, T. and Koyama, M · 2018
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Spectral normalization for generative adversarial networks
Miyato, T., Kataoka, T., Koyama, M., and Yoshida, Y · 2018
Later among the works it cites.
Painting outside the box: Image outpainting with gans
Sabini, M. and Rusak, G · 2018
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Self-attention generative adversarial networks
Zhang, H., Goodfellow, I. J., Metaxas, D. N., and Odena, A · 2018
Later among the works it cites.
Horizonnet: Learning room layout with 1d representation and pano stretch data augmentation
Sun, C., Hsiao, C.-W., Sun, M., and Chen, H.-T · 2019
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