Deep Learning, Computer Vision, Cnn, Transformers, AI.
investigates the performance of ViTs in comparison to traditional convolutional architectures in the context of GANs. The key findings from the paper include: ViT-based GANs performs comparable with Convolutional GANs: The results indicate that ViTGAN, which utilizes ViTs as both generator and