HypDAE uses a hyperbolic latent space on top of a Stable Diffusion autoencoder so that few-shot image generation can vary identity-irrelevant details while a user-adjustable radius controls semantic diversity.
Hyperbolic graph convolutional neural networks
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HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
HypDAE uses a hyperbolic latent space on top of a Stable Diffusion autoencoder so that few-shot image generation can vary identity-irrelevant details while a user-adjustable radius controls semantic diversity.