Computational Imaging Group (CIG) https://cigroup.wustl.edu/ 42 257 59 C++ DOLCE 41 8 DOLCE, ICCV2023. Pytorch Implementation. JavaScript bcpnpwww 1 1 Project page for block coordinate plug-and-play method for blind inverse problems sharpwww 1 0 Project page for Stochastic Deep Restoration Priors for Imaging Inverse Problems (ShaRP) spicewww 1 0 The project page for Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation (SPICE) curewww 0 1 Project page for CURE decafwww 0 1 Project page for "Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields" decolearnwww 0 1 Project page for "Deformation-Compensated Learning for Image Reconstruction without Ground Truth" drpwww 0 1 Project page for Deep Restoration Priors (DRP) Matlab Dictionary-Learnning-for-image-denoise-Fa 3 0 Python DeCAF 46 5 Cooridnate-based-Internal-Learning 23 8 The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging' RARE 21 4 Demo code for RARE CURE 13 2 Official Implementation of CURE, ECCV 2022 PnP-MSSN 12 2 A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction bcred 11 7 The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019) DeCoLearn 11 3 ELDER 9 1 PIRATE-code 9 0 Official code for the paper "A Plug-and-Play Image Registration Network" DRP 8 1 pnp-recovery 8 4 Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition" MMPnPADMM 6 1 Mismatched PnP-ADMM, ICML 2024. PyTorch Implementation randomwalk_diffusion 5 0 2022-MRM-LEARN 4 1 RoAR 4 3 ScatteringDecoder 4 1 Efficient and accurate inversion of multiple scattering with deep learning SPICER 4 2 2019-ICCVW-OnlineRED 3 1 2021-ICLR-Async-RED 3 0 ODER 3 0 Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising" SelfDEQ 3 0
