ViT-SGAN modifies ViTGAN's self-attention with mean-variance and texton descriptors to synthesize textures, but the evaluation is too weak and the equations are too unclear to support the claimed gains.
Vision: A computational investigation into the human representation and processing of visual information,
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Texture Image Synthesis Using Spatial GAN Based on Vision Transformers
ViT-SGAN modifies ViTGAN's self-attention with mean-variance and texton descriptors to synthesize textures, but the evaluation is too weak and the equations are too unclear to support the claimed gains.