Noise Conditional Flow Model for Learning the Super-Resolution Space

6 June 2021

Papers citing "Noise Conditional Flow Model for Learning the Super-Resolution Space"

7 / 7 papers shown

Title
ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement Samuel W. Remedios Shuwen Wei Shuo Han Jinwei Zhang A. Carass Kurt G. Schilling Dzung L. Pham Jerry L. Prince Blake E. Dewey 53 0 0 14 Mar 2025
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 41 4 0 16 Mar 2024
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution Yunpeng Qu Kun Yuan Kai Zhao Qizhi Xie Jinhua Hao Ming Sun Chao Zhou 32 17 0 08 Mar 2024
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 52 7 0 08 Dec 2022
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data Mohammadreza Naderi N. Karimi Ali Emami S. Shirani S. Samavi 34 0 0 15 Nov 2022
Generative Adversarial Networks for Image Super-Resolution: A Survey Chunwei Tian Xuanyu Zhang Chun-Wei Lin W. Zuo Yanning Zhang Chia-Wen Lin GAN 49 45 0 28 Apr 2022
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network Nathanaël Carraz Rakotonirina Andry Rasoanaivo GAN SupR 52 143 0 21 Jan 2020