Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging
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[1] Tero Karras,et al. Analyzing and Improving the Image Quality of StyleGAN , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Bolei Zhou,et al. Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis , 2019, International Journal of Computer Vision.
[3] Bolei Zhou,et al. Interpreting the Latent Space of GANs for Semantic Face Editing , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Phillip Isola,et al. On the "steerability" of generative adversarial networks , 2019, ICLR.
[5] Aude Oliva,et al. GANalyze: Toward Visual Definitions of Cognitive Image Properties , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[6] 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).
[7] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[8] Prafulla Dhariwal,et al. Glow: Generative Flow with Invertible 1x1 Convolutions , 2018, NeurIPS.
[9] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[10] Yuichi Yoshida,et al. Spectral Normalization for Generative Adversarial Networks , 2018, ICLR.
[11] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[12] Vincent Dumoulin,et al. Generative Adversarial Networks: An Overview , 2017, 1710.07035.
[13] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[14] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[15] David Berthelot,et al. BEGAN: Boundary Equilibrium Generative Adversarial Networks , 2017, ArXiv.
[16] Jiancheng Lv,et al. Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets , 2017, ICONIP.
[17] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[18] Sertac Karaman,et al. Invertibility of Convolutional Generative Networks from Partial Measurements , 2018, NeurIPS.
[19] Zachary Chase Lipton,et al. Generative Adversarial Networks , 2017 .