# Few-Shot Adaptation of Generative Adversarial Networks

Source: [Few-Shot Adaptation of Generative Adversarial Networks](<https://www.sota2.com/research/paper/68fa68a01e209131cea1d30b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T22:41:59.280Z

Authors: Esther Robb, Wen-Sheng Chu, Abhishek Kumar, Jia-Bin Huang

Published: 2020-10-22T17:59:29.000Z

## Abstract

Generative Adversarial Networks (GANs) have shown remarkable performance in image synthesis tasks, but typically require a large number of training samples to achieve high-quality synthesis. This paper proposes a simple and effective method, Few-Shot GAN (FSGAN), for adapting GANs in few-shot settings (less than 100 images). FSGAN repurposes component analysis techniques and learns to adapt the singular values of the pre-trained weights while freezing the corresponding singular vectors. This provides a highly expressive parameter space for adaptation while constraining changes to the pretrained weights. We validate our method in a challenging few-shot setting of 5-100 images in the target domain. We show that our method has significant visual quality gains compared with existing GAN adaptation methods. We report qualitative and quantitative results showing the effectiveness of our method. We additionally highlight a problem for few-shot synthesis in the standard quantitative metric used by data-efficient image synthesis works. Code and additional results are available at http://e-271.github.io/few-shot-gan.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Image-to-Image Translation on Amedeo](<https://www.sota2.com/research/sota/image-to-image-translation-on-amedeo.md>): Image-to-Image Translation; Amedeo; FID: 288.75.

- [Image-to-Image Translation on Fernand](<https://www.sota2.com/research/sota/image-to-image-translation-on-fernand.md>): Image-to-Image Translation; Fernand; FID: 360.45.

- [Image-to-Image Translation on Raphael](<https://www.sota2.com/research/sota/image-to-image-translation-on-raphael.md>): Image-to-Image Translation; Raphael; FID: 200.29.

- [Image-to-Image Translation on Sketches](<https://www.sota2.com/research/sota/image-to-image-translation-on-sketches.md>): Image-to-Image Translation; Sketches; FID: 166.37.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2010.11943>)

[PDF](<https://arxiv.org/pdf/2010.11943.pdf>)