Shypd.aiThe largest open index of AI toolsStyleSwin is an open-source image generation tool that uses a transformer-based GAN for high-resolution image synthesis. It excels at generating images up to 1024x1024 resolution, outperforming other transformer-based GANs.
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StyleSwin is an official implementation of a transformer-based Generative Adversarial Network (GAN) designed for high-resolution image generation, as presented at CVPR 2022. It leverages a Swin transformer within a style-based architecture, incorporating local and shifted window attention for computational efficiency and modeling capacity. A key innovation is the double attention mechanism, which combines local and shifted window contexts to enhance generation quality. StyleSwin also addresses the challenge of spatial coherency in high-resolution synthesis by employing a wavelet discriminator to suppress blocking artifacts. The tool demonstrates superior performance over prior transformer-based GANs, particularly at resolutions like 1024x1024, achieving competitive results with StyleGAN on datasets such as CelebA-HQ and FFHQ.
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