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StyleGAN Style-Based Generation and Latent Disentanglement

the high-water mark of adversarial image synthesis and the baseline DiT had to beat, so the comparison later in the spine is meaningless without it

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StyleGAN: Adaptive Instance Normalization and Learned Latent Mapping in GANs

StyleGAN introduces a learned latent mapping network that transforms random noise vectors into intermediate codes within a disentangled style space by adapting affine transformations for adaptive ins…