• High-Throughput Deep Unfolding Network for Compressive Sensing MRI 2022 [PyTorch] alt new

  • PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI 2022 [PyTorch] alt new

  • Conceptual Compression via Deep Structure and Texture Synthesis 2022 [PyTorch] alt new

  • Deep Generalized Unfolding Networks for Image Restoration 2022 [PyTorch] alt new

  • HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging 2022 [PyTorch] alt new

  • Panini-Net: GAN Prior based Degradation-Aware Feature Interpolation for Face Restoration 2022 [PyTorch] alt new

  • Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images 2022 [PyTorch] alt new

  • Dynamic Attentive Graph Learning for Image Restoration 2021 [PyTorch]

  • Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Sensing 2021 [PyTorch]

  • COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing 2021 [PyTorch]

  • ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing 2021 [PyTorch]

  • COLA-Net: Collaborative Attention Network for Image Restoration 2021 [PyTorch]

  • Optimization-Inspired Compact Deep Compressive Sensing 2020 [PyTorch]

  • ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing 2018 [Tensorflow] [PyTorch]

  • Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity 2017 [Download]

  • Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior 2017 [Download]

  • CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking 2016 [Download]

  • Entropy of Primitive: From Sparse Representation to Visual Information Evaluation 2016 [Download]

  • CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution 2016 [Download]

  • Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples 2015 [Download]

  • Group-based Sparse Representation for Image Restoration 2014 [Download]

  • Image Restoration Using Joint Statistical Modeling in Space-Transform Domain 2014 [Download]

  • Structural Group Sparse Representation for Image Compressive Sensing Recovery 2013 [Download]

  • Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images 2013 [Download]

  • Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization 2014 [Download]

  • Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization 2013 [Download]

  • Image Compressive Sensing Recovery via Collaborative Sparsity 2012 [Download]

  • Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation 2012 [Download]

  • Fast and Effective Interpolation Using Median Filter 2009 [Download]