Meet FreeU: A Novel AI Technique To Enhance Generative Quality Without Additional Training Or Fine-tuning

Probabilistic diffusion models, a cutting-edge category of generative models, have become a critical point in the research landscape, particularly for tasks related to computer vision. Distinct from other classes of generative models, such as Variational Autoencoder (VAE), Generative Adversarial Networks (GANs), and vector-quantized approaches, diffusion models introduce a novel generative paradigm. These models employ a […]

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