Computational Imaging Group (CIG) https://cigroup.wustl.edu/ 31 151 43 No Language ODER 2 0 Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising" C++ DOLCE 9 0 DOLCE, ICCV2023. Pytorch Implementation. JavaScript 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 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" Matlab Dictionary-Learnning-for-image-denoise-Fa 2 0 Python DeCAF 29 5 Cooridnate-based-Internal-Learning 18 6 The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging' RARE 18 4 Demo code for RARE CURE 11 2 Official Implementation of CURE, ECCV 2022 PnP-MSSN 11 2 A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction bcred 10 7 The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019) DeCoLearn 9 3 pnp-recovery 8 4 Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition" ELDER 5 1 RoAR 4 3 ScatteringDecoder 4 1 Efficient and accurate inversion of multiple scattering with deep learning 2019-ICCVW-OnlineRED 3 1 2021-ICLR-Async-RED 3 0 2022-MRM-LEARN 3 0
