Deep Learning, Computer Vision, Cnn, Transformers, AI.
fine-tuned as generators in GANs, significantly reducing the training time while maintaining competitive performance. This finding emphasizes the potential of using pre-trained ViTs for transfer learning in image synthesis tasks. Robustness to Input Changes: ViTGAN exhibits robustness to changes in