A Style-Based Generator Architecture for Generative Adversarial Networks
Selected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextControlling image synthesis through style-based generator architectures.
Karras studies high-quality visual generation and the training choices that shape it. These papers connect progressive GAN training and StyleGAN with diffusion models, examining how architecture, sampling, and guidance change generated images.
10 papers
Selected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in generative models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextAn independent editorial profile. Inclusion does not imply Council membership or endorsement. Research is collaborative; coauthorship does not imply sole credit.
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