AFHQ (Animal Faces-HQ)

Introduced by Choi et al. in StarGAN v2: Diverse Image Synthesis for Multiple Domains

Animal FacesHQ (AFHQ) is a dataset of animal faces consisting of 15,000 high-quality images at 512 × 512 resolution. The dataset includes three domains of cat, dog, and wildlife, each providing 5000 images. By having multiple (three) domains and diverse images of various breeds (≥ eight) per each domain, AFHQ sets a more challenging image-to-image translation problem. All images are vertically and horizontally aligned to have the eyes at the center. The low-quality images were discarded by human effort.

Source: StarGAN v2: Diverse Image Synthesis for Multiple Domains

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Benchmarks

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Task	Dataset Variant	Best Model
Image Generation	AFHQV2	Polarity-StyleGAN3
Image Generation	AFHQ Cat	Vision-aided GAN
Image Generation	AFHQ Dog	Projected GAN
Image Generation	AFHQ Wild	Vision-aided GAN
Multimodal Unsupervised Image-To-Image Translation	AFHQ	StarGAN v2
Image-to-Image Translation	AFHQ	StarGAN v2