Few-Shot Fauvism Still Life Images for GAN Training

Images in the Fauvism art style, curated for few-shot image synthesis research. It is associated with a 2021 academic paper on faster and stabilized GAN training for high-fidelity few-shot image synthesis. The dataset size is categorized as 'n1 K', indicating it contains approximately 1,000 items.

Use Cases

• Fine-tune a GAN model on Fauvism-style images for few-shot image generation tasks.
• Use the dataset as a benchmark for evaluating the stability and speed of GAN training methods on limited data.
• Apply style transfer techniques using the Fauvism aesthetic as a target domain.

Strengths

• Dataset is associated with a peer-reviewed academic paper (arXiv:2101.04775, 2021).
• The dataset size is categorized as 'n1 K', providing a specific scale for few-shot learning experiments.
• Data is available in Parquet format, which is efficient for storage and processing.

Limitations

• The exact number of images, columns, and file specifications are unknown.
• The dataset is focused on a single, niche art style (Fauvism), limiting generalizability.
• The data was last updated in April 2022, which may not reflect the latest techniques.

Provenance

Source

huggan on Hugging Face, associated with the 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 gathered from art sources.

Freshness

Last updated on 2022-04-12.

Geography

Region tag indicates 'us', but specific geographic coverage is unknown.