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.
Modeling, animating, and rendering complex scenes using volumetric textures.,
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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.