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GIQA: Generated Image Quality Assessment

This is the official pytorch implementation of ECCV2020 "GIQA: Generated Image Quality Assessment" (https://arxiv.org/abs/2003.08932). The major contributors of this repository include Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen at Microsoft Research Asia.

A related paper which adopts GMM-GIQA to improve the performance of GANs: PriorGAN(https://arxiv.org/abs/2006.16990).

Introduction

GIQA aims to solve the problem of quality evaluation of a single generated image. In this source, we release the code of our GMM-GIQA and KNN-GIQA which are convenient to use.

Citation

If you find our code helpful for your research, please consider citing:

@article{gu2020giqa,
  title={GIQA: Generated Image Quality Assessment},
  author={Gu, Shuyang and Bao, Jianmin and Chen, Dong and Wen, Fang},
  journal={arXiv preprint arXiv:2003.08932},
  year={2020}
} 

Getting Started

Prerequisite

Running code

LGIQA dataset

test

Reference

pytorch-fid