DIG-ZSL learns a per-class token that steers Stable Diffusion to generate discriminative images for unseen classes, then trains a ZSL classifier on those images.
Evolving semantic prototype improves generative zero-shot learning
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Discriminative Image Generation with Diffusion Models for Zero-Shot Learning
DIG-ZSL learns a per-class token that steers Stable Diffusion to generate discriminative images for unseen classes, then trains a ZSL classifier on those images.