wustl-cig Goto Github PK
Name: Computational Imaging Group (CIG)
Type: Organization
Location: St. Louis, MO, USA
Name: Computational Imaging Group (CIG)
Type: Organization
Location: St. Louis, MO, USA
Project page for block coordinate plug-and-play method for blind inverse problems
The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging'
The project page for 'CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping'
Official Implementation of CURE, ECCV 2022
Project page for CURE
Project page for "Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields"
Project page for "Deformation-Compensated Learning for Image Reconstruction without Ground Truth"
DOLCE, ICCV2023. Pytorch Implementation.
Project page for Deep Restoration Priors (DRP)
Project page for Explicit Learned Deep Equilibrium Regularizer
Project page for “Deep Model-Based Architectures for Inverse Problems under Mismatched Priors”
Mismatched PnP-ADMM, ICML 2024. PyTorch Implementation
Project page for PnP-ADMM with Mismatched MMSE priors
Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising"
Plug-and-Play Image Registration Network (PIRATE)
Official code for the paper "A Plug-and-Play Image Registration Network"
A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition"
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