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Degradation regression with uncertainty for blind super-resolution
期刊论文
NEUROCOMPUTING, 2024, 卷号: 582, 页码: 14
作者:
Li, Shang
;
Zhang, Guixuan
;
Luo, Zhengxiong
;
Liu, Jie
;
Zeng, Zhi
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/07/03
Blind super-resolution
Degradation estimation
Uncertainty learning
Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12377-12393
作者:
Wang, Juan
;
Yuan, Chunfeng
;
Li, Bing
;
Deng, Ying
;
Hu, Weiming
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/11/16
Blind image inpainting
semantic-discontinuity detection
layout map prediction
pixel generative adversarial network
End-to-End Alternating Optimization for Real-World Blind Super Resolution
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 18
作者:
Luo, Zhengxiong
;
Huang, Yan
;
Li, Shang
;
Wang, Liang
;
Tan, Tieniu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Blind super resolution
Degradation estimation
Alternating optimization
Restorer
Estimator
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:
Li, Kunqian
;
Wu, Li
;
Qi, Qi
;
Liu, Wenjie
;
Gao, Xiang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/11/17
Training
Image enhancement
Visualization
Task analysis
Generators
Deep learning
Oceans
Underwater image enhancement
deep learning
convolutional neural network
comparative learning
blind image quality assessment
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:
Kai Zhang
;
Yawei Li
;
Jingyun Liang
;
Jiezhang Cao
;
Yulun Zhang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 78-89
作者:
Xinya Wang
;
Jiayi Ma
;
Junjun Jiang
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/01/03
Blind super-resolution
contrastive learning
deep learning
image super-resolution (SR)
Tracing the geographic origin of endangered plant species using transcriptome-derived SNPs: An example of Cathaya argyrophylla
期刊论文
MOLECULAR ECOLOGY RESOURCES, 2023, 卷号: 23, 期号: 4, 页码: 844-854
作者:
Sun, Jing-Jing
;
Xia, Xiao-Mei
;
Wei, Xiao-Xin
;
Wang, Xiao-Quan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/03/07
Cathaya
double-blind trial
geographic traceability
population genetics
RNA-seq
SNPs
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:
Kai Zhang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline
Blind Restoration of Images Distorted by Atmospheric Turbulence Based on Deep Transfer Learning
期刊论文
PHOTONICS, 2022, 卷号: 9
作者:
Guo, Yiming
;
Wu, Xiaoqing
;
Qing, Chun
;
Su, Changdong
;
Yang, Qike
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/12/23
blind restoration
images distorted by atmospheric turbulence
deep transfer learning
Res FFT-Conv Block
high-quality images
Stochastic resonance in image denoising as an alternative to traditional methods and deep learning
期刊论文
NONLINEAR DYNAMICS, 2022
作者:
Shen, Mengen
;
Yang, Jianhua
;
Jiang, Wenbo
;
Sanjuan, Miguel A. F.
;
Zheng, Yuqiao
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/19
Blind image denoising
Monostable system
Stochastic resonance
Deep learning
BM3D
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