论文汇总

[1].Ledig C , Theis L , Huszar F , et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network[J]. 2016.     -----SRGAN

[2].Wang X , Yu K , Wu S , et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks[J]. 2018.                      -----ESRGAN

[3].Wenlong Zhang, Yihao Liu, Chao Dong, and Yu Qiao. Ranksrgan: Generative adversarial networks with ranker for image super-resolution. In ICCV, pages 3096–3105, 2019.     ---- rankSRGAN

[4].Schnfeld E , Schiele B , Khoreva A . A U-Net Based Discriminator for Generative Adversarial Networks[J]. 2020.                      ----U-net  as discriminator

[5].Yun S , Han D , Chun S , et al. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features[C]// International Conference on Computer Vision. 0.     ---CutMix  Regularization

[6].] Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets.     ---GAN   对抗损失

[7].

标签：论文,汇总,Adversarial,al,Generative,et,Super,Networks
来源： https://www.cnblogs.com/janmng/p/14017268.html