SRFlow: Learning the Super-Resolution Space with Normalizing Flow

25 June 2020

Andreas Lugmayr

Martin Danelljan

Luc Van Gool

Radu Timofte

SupR

DRL

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Papers citing "SRFlow: Learning the Super-Resolution Space with Normalizing Flow"

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Title
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 24 35 0 01 Jan 2024
Noise-free Optimization in Early Training Steps for Image Super-Resolution MinKyu Lee Jae-Pil Heo 13 4 0 29 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 32 2 0 12 Dec 2023
DREAM: Diffusion Rectification and Estimation-Adaptive Models Jinxin Zhou Tianyu Ding Tianyi Chen Jiachen Jiang Ilya Zharkov Zhihui Zhu Luming Liang 18 7 0 30 Nov 2023
SinSR: Diffusion-Based Image Super-Resolution in a Single Step Yufei Wang Wenhan Yang Xinyuan Chen Yaohui Wang Lanqing Guo Lap-Pui Chau Ziwei Liu Yu Qiao Alex C. Kot Bihan Wen DiffM 73 98 0 23 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 29 3 0 15 Nov 2023
Rare Event Probability Learning by Normalizing Flows Zhenggqi Gao Dinghuai Zhang Luca Daniel Duane S. Boning 8 3 0 29 Oct 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration Noa Cohen Hila Manor Yuval Bahat T. Michaeli DiffM 32 10 0 24 Oct 2023
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach Feng Luo Jin-Peng Xiang Jun Zhang Xiao Han Wei Yang DiffM 83 10 0 18 Oct 2023
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling Wanjie Sun Zhenzhong Chen SupR 28 0 0 08 Oct 2023
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel Paul Hagemann J. Hertrich Fabian Altekrüger Robert Beinert Jannis Chemseddine Gabriele Steidl 19 24 0 04 Oct 2023
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning Xuanming Hu Wei Fan Dongjie Wang Pengyang Wang Yong Li Yanjie Fu AI4CE 43 2 0 03 Oct 2023
Dynamic Attention-Guided Diffusion for Image Super-Resolution Brian B. Moser Stanislav Frolov Federico Raue Sebastián M. Palacio Andreas Dengel DiffM 22 3 0 15 Aug 2023
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data Jingyi Shen Hang Shen 19 5 0 08 Aug 2023
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond Zengxi Zhang Zhiying Jiang Jinyuan Liu Xin-Yue Fan Risheng Liu 24 10 0 02 Aug 2023
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow Lin Yuan Kai Liang Xiao Pu Yan Zhang Jiaxu Leng Tao Wu Nannan Wang Xinbo Gao PICV 21 1 0 18 Jul 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement Yufei Wang Yi Yu Wenhan Yang Lanqing Guo Lap-Pui Chau Alex C. Kot B. Wen DiffM 25 41 0 15 Jul 2023
Enhancing Low-Light Images Using Infrared-Encoded Images Shulin Tian Yufei Wang Renjie Wan Wenhan Yang Alex C. Kot B. Wen 47 0 0 09 Jul 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution Axi Niu T. Pham Kang Zhang Jinqiu Sun Yu Zhu Inso Kweon Yanning Zhang DiffM 22 19 0 03 Jul 2023
RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution Ren-Rong Wu Zhilu Zhang Shuohao Zhang Hongzhi Zhang W. Zuo 17 6 0 30 Jun 2023
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising Li Pang Weizhen Gu Xiangyong Cao Xiangyu Rui Jiangjun Peng Shuang Xu Gang Yang Deyu Meng 15 0 0 20 Jun 2023
RetinexFlow for CT metal artifact reduction Jiandong Su Ce Wang Yinsheng Li Kun Shang Dong Liang MedIm 11 0 0 18 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging Jeffrey Wen Rizwan Ahmad Philip Schniter MedIm 38 8 0 02 Jun 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núnez DiffM 39 24 0 24 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution Y. Ma Huan Yang Wenhan Yang Jianlong Fu Jiaying Liu DiffM 10 7 0 24 May 2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration Yi Huang Jiancheng Huang Jianzhuang Liu Mingfu Yan Yu Dong Jiaxi Lv Chaoqi Chen Shifeng Chen 23 37 0 23 May 2023
BlindHarmony: "Blind" Harmonization for MR Images via Flow model Hwihun Jeong Heejoon Byun Dong un Kang Jongho Lee MedIm 14 6 0 18 May 2023
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening Gang Yang Xiangyong Cao Wen Xiao Man Zhou Aiping Liu Xun Chen Deyu Meng UQCV 17 16 0 12 May 2023
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution Yuqi Han Tao Yu Xiaohang Yu Yuwang Wang Qionghai Dai SupR 19 13 0 26 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 32 1 0 07 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation Chao Wang DiffM 27 3 0 05 Apr 2023
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution Brian B. Moser Stanislav Frolov Federico Raue Sebastián M. Palacio Andreas Dengel 30 14 0 04 Apr 2023
Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao Xuhui Liu Bo-Wen Zeng Sheng Xu Yanjing Li Xiaonan Luo Jianzhuang Liu Xiantong Zhen Baochang Zhang DiffM 43 213 0 29 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration M. Delbracio P. Milanfar DiffM 29 112 0 20 Mar 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang Zhengyang Shan Guangxing Liu LunQian Wang XingHua Wang Zekai Zhang Jingling Zhang DiffM 42 82 0 15 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution Jiemei Yao Li-Yuan Tsao Yi-Chen Lo Roy Tseng Chia-Che Chang Chun-Yi Lee SupR 14 34 0 09 Mar 2023
Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective M. Afrasiabi Reshad Hosseini A. Abbasfar 13 1 0 06 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 24 4 0 04 Mar 2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images Yuki Kondo Norimichi Ukita SupR 24 8 0 24 Feb 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 18 0 0 19 Feb 2023
Kernelized Back-Projection Networks for Blind Super Resolution Tomoki Yoshida Yuki Kondo Takahiro Maeda Kazutoshi Akita Norimichi Ukita SupR 19 1 0 16 Feb 2023
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution Axi Niu Kang Zhang T. Pham Jinqiu Sun Yu Zhu In So Kweon Yanning Zhang DiffM 11 20 0 14 Feb 2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond Wenchao Du Hu Chen Yan Zhang H. Yang 21 1 0 31 Jan 2023
Image Restoration with Mean-Reverting Stochastic Differential Equations Ziwei Luo Fredrik K. Gustafsson Zheng Zhao Jens Sjölund Thomas B. Schon DiffM 31 155 0 27 Jan 2023
Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms Rui-ya Ma Mengxi Guo Yi Hou Fan Yang Yuan Li Huizhu Jia Xiaodong Xie WIGM 21 55 0 24 Dec 2022
FunkNN: Neural Interpolation for Functional Generation AmirEhsan Khorashadizadeh Anadi Chaman Valentin Debarnot Ivan Dokmanić 32 8 0 20 Dec 2022
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal Lanqing Guo Chong Wang Wenhan Yang Siyu Huang Yufei Wang Hanspeter Pfister B. Wen DiffM 48 93 0 09 Dec 2022
Neural Volume Super-Resolution Yuval Bahat Yuxuan Zhang Hendrik Sommerhoff A. Kolb Felix Heide SupR 22 6 0 09 Dec 2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 23 7 0 08 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model Jeongjun Choi D. Shim H. J. Kim 16 33 0 06 Dec 2022