DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong. DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 38204-38226, PMLR, 2023. [doi]

@inproceedings{XieWCLSZD23,
  title = {DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models},
  author = {Liangbin Xie and Xintao Wang and Xiangyu Chen and Gen Li and Ying Shan and Jiantao Zhou and Chao Dong},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/xie23c.html},
  researchr = {https://researchr.org/publication/XieWCLSZD23},
  cites = {0},
  citedby = {0},
  pages = {38204-38226},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}