HeSunPU / DPILinks
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
☆37Updated 3 years ago
Alternatives and similar repositories for DPI
Users that are interested in DPI are comparing it to the libraries listed below
Sorting:
- Learning for computational imaging system made simple.☆64Updated 4 years ago
- Scientific Computational Imaging COde☆136Updated this week
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli☆55Updated 4 years ago
- Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks☆56Updated 3 years ago
- Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)☆35Updated 7 months ago
- Published in IEEE Trans. Comput. Imag.☆8Updated 8 months ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆51Updated 2 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 the paper "Analyzing inverse problems with invertible neural networks." (2018)☆97Updated 5 years ago
- A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.☆233Updated 7 months ago
- ☆50Updated 2 years ago
- Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser☆11Updated 2 years ago
- ☆15Updated 2 years ago
- Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)☆13Updated 3 weeks ago
- Pytorch wrappers for the FINUFFT library☆14Updated 7 months ago
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆26Updated 4 months ago
- Total Deep Variation Regularizer☆51Updated 4 years ago
- ☆15Updated 5 years ago
- Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification…☆10Updated last year
- Official repo for "Learning the geometry of wave-based imaging"☆12Updated 4 years ago
- Learning a probabilistic strategy for computational imaging sensor selection (cosense)☆11Updated 3 years ago
- A python/pytorch package for invertible neural networks☆65Updated 2 years ago
- High-order spline interpolation in PyTorch☆67Updated 10 months ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Updated 5 years ago
- Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"☆35Updated last year
- The implementation of the Block Coordinate Regularization by Denoising (BC-RED) algorithm (NeurIPS 2019)☆11Updated 5 years ago
- ☆19Updated last year
- End-to-end PSF extraction for 3D microscopy☆15Updated 5 years ago
- Unsupervised Denoising for STEM Images.☆16Updated 3 years ago