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[1] Bolei Zhou,et al. InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs , 2020, IEEE transactions on pattern analysis and machine intelligence.
[2] Peter Wonka,et al. Image2StyleGAN++: How to Edit the Embedded Images? , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Lars Kai Hansen,et al. Latent Space Oddity: on the Curvature of Deep Generative Models , 2017, ICLR.
[4] Phillip Isola,et al. On the "steerability" of generative adversarial networks , 2019, ICLR.
[5] Deli Zhao,et al. In-Domain GAN Inversion for Real Image Editing , 2020, ECCV.
[6] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[7] Trevor Darrell,et al. Adversarial Feature Learning , 2016, ICLR.
[8] Sertac Karaman,et al. Invertibility of Convolutional Generative Networks from Partial Measurements , 2018, NeurIPS.
[9] Aaron C. Courville,et al. Adversarially Learned Inference , 2016, ICLR.
[10] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[11] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium , 2017, ArXiv.
[12] Bogdan Raducanu,et al. Invertible Conditional GANs for image editing , 2016, ArXiv.
[13] Xueyan Jiang,et al. Metrics for Deep Generative Models , 2017, AISTATS.
[14] Xiaoming Liu,et al. Disentangled Representation Learning GAN for Pose-Invariant Face Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Bo Zhang,et al. LIA: Latently Invertible Autoencoder with Adversarial Learning , 2019, ArXiv.
[16] Xiaogang Wang,et al. FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[18] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[19] Anil A. Bharath,et al. Inverting the Generator of a Generative Adversarial Network , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[20] Jonathon Shlens,et al. Conditional Image Synthesis with Auxiliary Classifier GANs , 2016, ICML.
[21] Stefan Sommer,et al. Latent Space Non-Linear Statistics , 2018, ArXiv.
[22] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Peter Wonka,et al. Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[24] Aude Oliva,et al. GANalyze: Toward Visual Definitions of Cognitive Image Properties , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Subarna Tripathi,et al. Precise Recovery of Latent Vectors from Generative Adversarial Networks , 2017, ICLR.