HeSunPU / cosenseLinks
Learning a probabilistic strategy for computational imaging sensor selection (cosense)
☆11Updated 3 years ago
Alternatives and similar repositories for cosense
Users that are interested in cosense are comparing it to the libraries listed below
Sorting:
- ☆98Updated 6 years ago
- Learning for computational imaging system made simple.☆64Updated 4 years ago
- ☆16Updated 5 years ago
- Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)☆89Updated 8 months ago
- Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.☆99Updated 3 years ago
- Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"☆47Updated 5 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆61Updated 6 years ago
- The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)☆11Updated 5 years ago
- Learning Sensor Multiplexing Design through Back-propagation☆15Updated 8 years ago
- Compressed sensing with deep image prior algorithm☆63Updated last year
- ☆33Updated 6 years ago
- ☆12Updated 5 years ago
- Total Deep Variation Regularizer☆51Updated 4 years ago
- Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks☆56Updated 3 years ago
- Implementation of the variational network for denoising.☆17Updated 2 years ago
- Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)☆59Updated 4 years ago
- DeepRED: Deep Image Prior Powered by RED☆67Updated 5 years ago
- code related to "UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator" by Tachella, Davies and Jacques☆10Updated 4 months ago
- An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.☆28Updated 8 years ago
- An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328☆43Updated 3 years ago
- [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers☆67Updated 6 years ago
- ☆15Updated 4 years ago
- Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging☆37Updated 3 years ago
- This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to un…☆24Updated 6 years ago
- Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020☆30Updated 3 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆99Updated 4 years ago
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low…☆41Updated 8 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Updated 2 years ago