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 1,301–1,400 of 2,096

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  79. 23‐3: Deep Tone‐mapped HDRNET for High Dynamic Range Image Restoration
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  80. A support-denoiser-driven framework for single image restoration
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  81. Test time augmentation by regular shifting for deep denoising autoencoder networks
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  82. An Effective Multi-Task Two-Stage Network with the Cross-Scale Training Strategy for Multi-Scale Image Super Resolution
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  83. ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network
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  84. Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction
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  89. A Robust Image Denoising Method With Multiview Texture-Aware Convolutional Neural Networks
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  90. Unsupervised learning of multi-task deep variational model
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  91. Image denoising using convolutional neural network
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  92. QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving $$\ell _q$$-Norm Optimization Problem
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  93. MRWM: A Multiple Residual Wasserstein Driven Model for Image Denoising
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  94. Recursive lightweight convolutional neural networks that make noisy images purer and purer
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  96. A denoising model based on multi-agent reinforcement learning with data transformation for digital tomosynthesis
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  97. A contrastive learning-based iterative network for remote sensing image super-resolution
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  98. ESC-PAN: An Efficient CNN Architecture for Image Super-Resolution
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  99. Single-Photon Cameras Image Reconstruction Using Vision Transformer
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  100. Video Snapshot Compressive Imaging via Optical Flow
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