AFHQ

Animal Faces-HQ

Dataset Information
Modalities
Images
Introduced
2019
License
Homepage

Overview

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

Variants: AFHQ, AFHQV2, AFHQ Dog, AFHQ Cat, AFHQ Wild, AFHQcat2dog

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Image-to-Image Translation Unknown Class-Continuous Conditional Generative Neural Radiance … 2023-01-03
Image-to-Image Translation StarGAN v2 StarGAN v2: Diverse Image Synthesis … 2019-12-04

Research Papers

Recent papers with results on this dataset: