Bibliography (9):

1. TransGAN: Two Transformers Can Make One Strong GAN

2. STL-10 Dataset

3. CelebA Dataset

4. TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

5. Wikipedia Bibliography:

   1. Image segmentation

   2. Generative adversarial network

   3. Data augmentation

   4. Fréchet inception distance

   5. CIFAR-10