Collection of popular and reproducible image denoising works.
-
Updated
Dec 5, 2021
Collection of popular and reproducible image denoising works.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
PyLops – A Linear-Operator Library for Python
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Operator Discretization Library https://odlgroup.github.io/odl/
AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
🦐 Electromagnetic Simulation + Automatic Differentiation
PyTorch library for solving imaging inverse problems using deep learning
PDE-Net: Learning PDEs from Data
Rectified Flow Inversion (RF-Inversion)
Deep learning framework for MRI reconstruction
Probabilistic Inference on Noisy Time Series
Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods
Add a description, image, and links to the inverse-problems topic page so that developers can more easily learn about it.
To associate your repository with the inverse-problems topic, visit your repo's landing page and select "manage topics."