Open source Structure-from-Motion pipeline

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

The state-of-the-art image restoration model without nonlinear activation functions.

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

3D reconstruction, sfm with Python3

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

三维重建算法Structure from Motion(Sfm)的python实现

Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)

Toward Convolutional Blind Denoising of Real Photograph

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

Python implementation of PRNU extractor

PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019

Deep Universal Blind Image Denoising (ICPR, 2020)

Official code of "Deep Variational Network Toward Blind Image Restoration".

Selective Residual M-Net for Real Image Denoising

Frequency Denoising Network: Blind Noise Removal for Real Images

this project is for PMRID's training and testing

Monocular camera calibration, binocular camera calibration and stereo matching

Extract camera fingerprint using different types of state-of-the-art denoisers

The second place solution of the RGBW Joint Remosaic and Denoise @MIPI-challenge

A Python script that extracts the PRNU from images using the DRUNet network as a denoising technique.

Extracting PRNU signal with CNN denoisers

This repository provides a PyTorch implementation of FFDNet image denoising https://arxiv.org/abs/1710.04026. First implemented by Matias Tassano https://doi.org/10.5201/ipol.2019.231, the FFDNet s…

Use CNN to extract features of cameras (from PRNU)