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Computational Imaging Group (CIG)'s Projects

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Project page for block coordinate plug-and-play method for blind inverse problems

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The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)

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Convergence of Nonconvex PnP-ADMM with MMSE Denoisers

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The project page for 'CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping'

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Official Implementation of CURE, ECCV 2022

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Project page for "Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields"

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Project page for "Deformation-Compensated Learning for Image Reconstruction without Ground Truth"

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DOLCE, ICCV2023. Pytorch Implementation.

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Project page for Deep Restoration Priors (DRP)

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Project page for Explicit Learned Deep Equilibrium Regularizer

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Project page for “Deep Model-Based Architectures for Inverse Problems under Mismatched Priors”

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Mismatched PnP-ADMM, ICML 2024. PyTorch Implementation

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Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising"

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Plug-and-Play Image Registration Network (PIRATE)

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Official code for the paper "A Plug-and-Play Image Registration Network"

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A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction

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Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition"

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Project page for "Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models"

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