QingtangDing / GLEAN

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution (CVPR 2021)

Note: This repository is to provide meta info for training and test only. For codes and models, please refer to MMEditing.

Project page: https://www.mmlab-ntu.com/project/glean/

Dataset Preparation

1. For categories other than human face, we resize the input image to the designated size (e.g. 256 for cats and 512 for cars) using the MATLAB imresize function.
2. For the download links, please refer to our paper.

Citations

@InProceedings{chan2021glean,
  author = {Chan, Kelvin CK and Wang, Xintao and Xu, Xiangyu and Gu, Jinwei and Loy, Chen Change},
  title = {GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  year = {2021}
}