Bibliography (19):

1. StyleGAN—Official TensorFlow Implementation

2. StyleGAN-2—Official TensorFlow Implementation

3. BigGAN-PyTorch: The Author’s Officially Unofficial PyTorch BigGAN Implementation

4. https://github.com/LuckAlex/OTUSD

5. Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN

6. Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

7. AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes

8. Interpreting the Latent Space of GANs for Semantic Face Editing

9. Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

10. User-Controllable Latent Transformer for StyleGAN Image Layout Editing

11. Closed-Form Factorization of Latent Semantics in GANs

12. EigenGAN: Layer-Wise Eigen-Learning for GANs

13. LARGE: Latent-Based Regression through GAN Semantics

14. Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation

15. Wikipedia Bibliography:

    1. Latent and observable variables

    2. Generative adversarial network

    3. Nonlinear dimensionality reduction

    4. https://en.wikipedia.org/wiki/Transportation_theory_(mathematics)

       https://en.wikipedia.org/wiki/Transportation_theory_(mathematics)

    5. https://en.wikipedia.org/wiki/Singular_value_decomposition

       https://en.wikipedia.org/wiki/Singular_value_decomposition