Wuchen057's starred repositories

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Aeon_AssetDecDL

Use to download all AEONS ECHO resources without actually play the game and decrypt files

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mnist-em-bmm-gmm

MNIST handwritten digits clustering using a Bernoulli Mixture Model and a Gaussian Mixture Model

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Practical_Homework_for_slambook14

This repository is used to store SLAM 14 training exercises

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DynaSLAM

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

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CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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NeuralRecon

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

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DANet

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

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reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

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New-Approaches-with-PRNU-CNN-for-Image-Source-Forensics

We built a pipeline to extract the PRNU noise from the residual noise of a single image with a Resnet-based CNN architecture

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PRNU_CNN

Extracting PRNU signal with CNN denoisers

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CameraFingerprint_pytorch

Extract camera fingerprint (PRNU) based on DnCNN

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DUBD

Deep Universal Blind Image Denoising (ICPR, 2020)

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FAN

Frequency Denoising Network: Blind Noise Removal for Real Images

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PMRID-Pytorch

this project is for PMRID's training and testing

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VDnet_SIDD

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

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VIRNet

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

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VDNet

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

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prnu

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

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SRMNet

Selective Residual M-Net for Real Image Denoising

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Camera-Identification-CNN

Use CNN to extract features of cameras (from PRNU)

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prnu-python

Python implementation of PRNU extractor

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neural-prnu-extractor

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 source code has been adapted so as to extract cameras PRNU.

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BRDNet

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

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ECCVW22-RGBW-Remosaic-Challenge

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

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QMRI-PnP-Recon-POC

Plug-and-Play Magnetic Resonance Fingerprinting based Quantitative MRI Reconstruction using Deep Denoisers (Proof of Concept) (IEEE ISBI 2022)

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DRUnet-SE

deep real value Unet for speech enhancement,implement using TF

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