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High-Throughput Deep Unfolding Network for Compressive Sensing MRI 2022 [PyTorch]
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PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI 2022 [PyTorch]
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Conceptual Compression via Deep Structure and Texture Synthesis 2022 [PyTorch]
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Deep Generalized Unfolding Networks for Image Restoration 2022 [PyTorch]
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HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging 2022 [PyTorch]
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Panini-Net: GAN Prior based Degradation-Aware Feature Interpolation for Face Restoration 2022 [PyTorch]
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Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images 2022 [PyTorch]
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Dynamic Attentive Graph Learning for Image Restoration 2021 [PyTorch]
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Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Sensing 2021 [PyTorch]
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COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing 2021 [PyTorch]
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ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing 2021 [PyTorch]
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COLA-Net: Collaborative Attention Network for Image Restoration 2021 [PyTorch]
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Optimization-Inspired Compact Deep Compressive Sensing 2020 [PyTorch]
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ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing 2018 [Tensorflow] [PyTorch]
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Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity 2017 [Download]
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Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior 2017 [Download]
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CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking 2016 [Download]
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Entropy of Primitive: From Sparse Representation to Visual Information Evaluation 2016 [Download]
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CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution 2016 [Download]
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Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples 2015 [Download]
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Group-based Sparse Representation for Image Restoration 2014 [Download]
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Image Restoration Using Joint Statistical Modeling in Space-Transform Domain 2014 [Download]
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Structural Group Sparse Representation for Image Compressive Sensing Recovery 2013 [Download]
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Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images 2013 [Download]
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Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization 2014 [Download]
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Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization 2013 [Download]
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Image Compressive Sensing Recovery via Collaborative Sparsity 2012 [Download]
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Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation 2012 [Download]
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Fast and Effective Interpolation Using Median Filter 2009 [Download]