Few-Shot Grumpy Cat Images for GAN Training

Images of Grumpy Cat, curated for few-shot image synthesis research. It is associated with a 2021 arXiv paper on faster and stabilized GAN training for high-fidelity few-shot image synthesis. The dataset is categorized as having a size of 'n1 K', indicating it contains approximately 1,000 images.

Use Cases

• Train a GAN model for few-shot image synthesis using the provided Grumpy Cat images.
• Benchmark image generation models on a specific, small-scale subject like Grumpy Cat.
• Study the performance of GAN training stabilization techniques on a dataset of approximately 1,000 images.

Strengths

• Dataset size is categorized as 'n1 K', providing a specific scale for few-shot learning tasks.
• Associated with a peer-reviewed arXiv paper (abs/2101.04775) from 2021, providing research context.
• Includes metadata tags specifying the modality as 'image' and the region as 'us'.

Limitations

• The exact number of images (rows) is not explicitly stated, only a size category.
• Limited to a single subject (Grumpy Cat), which restricts generalizability for broader image synthesis tasks.
• The dataset's last known update was in April 2022, which may not reflect the latest state.

Provenance

Source

huggan on Hugging Face, associated with the arXiv paper 'Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis'.

Collection Method

Curated for research on few-shot image synthesis, likely sourced from public images of Grumpy Cat.

Freshness

Last updated on 2022-04-12.

Geography

Region tag indicates 'us'.