Computational Imaging Group (CIG) https://cigroup.wustl.edu 60 0 53 319 63 C++ DOLCE 61 9 DOLCE, ICCV2023. Pytorch Implementation.JavaScript sharpwww 2 0 Project page for Stochastic Deep Restoration Priors for Imaging Inverse Problems (ShaRP) bcpnpwww 1 1 Project page for block coordinate plug-and-play method for blind inverse problems 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 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 54 7 Cooridnate-based-Internal-Learning 24 8 The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging' RARE 21 4 Demo code for RARE PnP-MSSN 15 2 A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction CURE 14 2 Official Implementation of CURE, ECCV 2022 DeCoLearn 11 3 PIRATE-code 11 0 Official code for the paper "A Plug-and-Play Image Registration Network" bcred 10 7 The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019) DRP 9 1 ELDER 9 1 pnp-recovery 9 4 Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition" measurement_diffusion 7 0 SPICER 7 2 MMPnPADMM 6 1 Mismatched PnP-ADMM, ICML 2024. PyTorch Implementation ScatteringDecoder 6 1 Efficient and accurate inversion of multiple scattering with deep learning score_pnp 6 2 2022-MRM-LEARN 5 0 ODER 5 0 Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising" randomwalk_diffusion 5 0 RoAR 4 3 2021-ICLR-Async-RED 3 0 SelfDEQ 3 0 2019-ICCVW-OnlineRED 2 1 BCPnP 2 0 EigenScore 1 0 OOD classification FLAIR 1 0 FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration (WACV2025) parameter_interpolation 1 1
