Few-Shot Anime Face Images for Generative Adversarial Network Training

Anime-style face images intended for few-shot image synthesis research. It was created by the 'huggan' organization and last updated on April 12, 2022. The dataset is associated with a 2021 research paper on faster and stabilized GAN training for high-fidelity few-shot image synthesis.

Use Cases

• Train a Generative Adversarial Network (GAN) for few-shot image synthesis using anime face images.
• Benchmark few-shot learning models on the anime face image modality.
• Develop image generation models for the anime style using the provided image data.

Strengths

• Dataset is associated with a peer-reviewed research paper published on arXiv in 2021.
• Dataset was updated in April 2022, indicating some level of maintenance.

Limitations

• The dataset size, number of rows, and specific column structure are unknown.
• The dataset's license, original source, and data collection method are not specified.

Provenance

Source

huggan

Collection Method

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Time Range

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Freshness

Last updated on 2022-04-12.

Geography

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