Animal Faces-HQ
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
This dataset is used in 1 benchmark:
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 |
Recent papers with results on this dataset: