Learning Deep CNN Denoiser Prior for Image Restoration

Zhang, Kai, Zuo, Wangmeng, Gu, Shuhang, Zhang, Lei·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (2,096)

Items 201–300 of 2,096

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  73. Structure-Texture Image Decomposition Using Deep Variational Priors
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  74. Deep Griffin–Lim Iteration
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  75. Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection
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  76. Deep Learning for Improving the Robustness of Image Encryption
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  78. Residual Dense Network for Image Restoration
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  79. A Hybrid Structural Sparsification Error Model for Image Restoration
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  80. Attention Mechanisms in CNN-Based Single Image Super-Resolution: A Brief Review and a New Perspective
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  81. Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
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  82. Flexible and Generalized Real Photograph Denoising Exploiting Dual Meta Attention
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  85. Provable Convergence of Plug-and-Play Priors With MMSE Denoisers
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  86. Accurate and Lightweight Image Super-Resolution With Model-Guided Deep Unfolding Network
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  87. Learning regularization parameters of inverse problems via deep neural networks:Paper
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  88. Countering Adversarial Attacks on Autonomous Vehicles Using Denoising Techniques: A Review
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  89. Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
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  90. Dual Convolutional Neural Networks for Low-Level Vision
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  91. A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
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  92. Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation
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  93. Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising
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  94. Bayesian Pan-Sharpening With Multiorder Gradient-Based Deep Network Constraints
    Penghao Guo, Peixian Zhuang, Yecai Guo · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  95. Feature-Guided CNN for Denoising Images From Portable Ultrasound Devices
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  96. Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising
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  97. Learning Bilevel Layer Priors for Single Image Rain Streaks Removal
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  98. SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors
    Zihui Wu, Yu Sun, Alex C. Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov · 2020 · IEEE Journal of Selected Topics in Signal Processing
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