Adversarial Loss
Concept
A strategy using a discriminator network to distinguish between real and generated images, penalizing the generator for blurry or fake-looking outputs to improve realism.
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Videos Mentioning Adversarial Loss
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 4 - Latent Space & Guidance
Stanford Online
A strategy using a discriminator network to distinguish between real and generated images, penalizing the generator for blurry or fake-looking outputs to improve realism.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 5 - Architectures
Stanford Online
A strategy mentioned to combat blurriness in images generated by VAEs.