Unsupervised Discovery of Disentangled Manifolds in GANs

Gradient-based learning applied to document recognition

LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: · 1998

Earlier work this paper cites.

Generative adversarial nets

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014

Earlier work this paper cites.

Very deep convolutional networks for large-scale image recognition

Simonyan, K., Zisserman, A.: · 2015

Earlier work this paper cites.

Adam: A method for stochastic optimization

Kingma, D.P., Ba, J.: · 2015

Earlier work this paper cites.

ImageNet Large Scale Visual Recognition Challenge

Original

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: · 2015

Earlier work this paper cites.

Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: · 2016

Earlier work this paper cites.

A discriminative feature learning approach for deep face recognition

Wen, Y., Zhang, K., Li, Z., Qiao, Y.: · 2016

Earlier work this paper cites.

Deep residual learning for image recognition

He, K., Zhang, X., Ren, S., Sun, J.: · 2016

Earlier work this paper cites.

Wasserstein gan

Arjovsky, M., Chintala, S., Bottou, L.: · 2017

Earlier work this paper cites.

Discriminative autoencoders for speaker verification

Lee, H., Lu, Y., Hsu, C., Tsao, Y., Wang, H., Jeng, S.: · 2017

Cited alongside, same era.

Towards the automatic anime characters creation with generative adversarial networks

Jin, Y., Zhang, J., Li, M., Tian, Y., Zhu, H., Fang, Z.: · 2017

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Improved training of wasserstein gans

Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: · 2017

Cited alongside, same era.

Progressive growing of gans for improved quality, stability, and variation

Karras, T., Aila, T., Laine, S., Lehtinen, J.: · 2018

Cited alongside, same era.

Visual object networks: image generation with disentangled 3d representations

Zhu, J.Y., Zhang, Z., Zhang, C., Wu, J., Torralba, A., Tenenbaum, J., Freeman, B.: · 2018

Cited alongside, same era.

Generalized end-to-end loss for speaker verification

Wan, L., Wang, Q., Papir, A., Moreno, I.L.: · 2018

Large scale gan training for high fidelity natural image synthesis

Brock, A., Donahue, J., Simonyan, K.: · 2019

Later among the works it cites.

Finegan: Unsupervised hierarchical disentanglement for fine-grained object generation and discovery

Singh, K.K., Ojha, U., Lee, Y.J.: · 2019

Later among the works it cites.

Analyzing and improving the image quality of stylegan

Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: · 2020

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Unsupervised discovery of interpretable directions in the gan latent space

Original

Voynov, A., Babenko, A.: · 2020

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Drit++: Diverse image-to-image translation via disentangled representations

Lee, H.Y., Tseng, H.Y., Mao, Q., Huang, J.B., Lu, Y.D., Singh, M., Yang, M.H.: · 2020

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