YuWang0431

YuWang0431's Stars

• ebishoff/MNIST-New-Perspective

  Here we dive into understanding the different effects of different regularization terms have on our model. We especially look into how L1 promotes sparsity and its effects.

  Language:Jupyter Notebook1

• yqx7150/FSPI-DM

  High-resolution iterative reconstruction at extremely low sampling rate for Fourier single-pixel imaging via diffusion model

  Language:Jupyter Notebook131

• gistvision/DIP-denosing

  Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)

  Language:Python495

• QilnnGuo/self2self_dropout_torch

  self2self with dropout

  Language:Python2

• chaishu321/UNSUPERVISED-AND-UNTRAINED-UNDERWATER-IMAGE-RESTORATION-BASED-ON-PHYSICAL-IMAGE-FORMATION-MODEL

  Language:Python71

• xiwenc1/DH-GAN

  The code for the paper: DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography

  Language:HTML7

• VLOGroup/tdv

  Total Deep Variation Regularizer

  Language:Python5010

• clausmichele/ViDeNN

  ViDeNN - Deep Blind Video Denoising

  Language:Python23534

• SZU-AdvTech-2023/200-Zero-Shot-Noise2Noise-Efficient-Image-Denoising-without-Any-Data

  Language:Python81

• dodododddo/Zero-shot-Noise2Noise

  根据CVPR2023论文Zero-shot Noise2Noise，复现了一个零样本、无假设的图像去噪模型

  Language:Python17

• StanfordMIMI/DDM2

  [ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

  Language:Python15721

• zhangyi-3/IDR

  Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)

  Language:Python12214

• cszn/KAIR

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

  Language:Python3k642

• xl-tang3/UAUDeblur

  (CVPR 23) Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior

  Language:Python584

• WorkWithSoham/Image-Noise-Reduction-with-Auto-encoders-using-TensorFlow

  Simple project to learn in deep the working of Auto encoders and tensorflow in detail.

  Language:Jupyter Notebook2

• FoAlex86/M2ImageProject

  Master 2 Project of pictures, security and deep learning class. Project is about noise reduction.

  Language:Python1

• gengmufeng/TCFL-OCT

  Pytorch implementation of Triplet Cross-Fusion Learning for Unsupervised Noise Reduction of OCT Images

  Language:Python15

• diegovalsesia/gcdn

  Deep Graph-Convolutional Image Denoising

  Language:Python9427

• weimin581/demo_DRED_DIP

  [IJCNN'2024] ''Mixed Degradation Image Restoration via Deep Image Prior Empowered by Deep Denoising Engine'', Weimin Yuan, Yinuo Wang, Ning Li, Cai Meng, Xiangzhi Bai

  Language:Jupyter Notebook2

• cabooster/DeepCAD

  DeepCAD: Deep self-supervised learning for calcium imaging denoising

  Language:Python10522

• Erlemico/Image-Preprocessing-for-Deepfake-Detection

  This project involves pre-processing images and videos to reduce noise and clarify facial features in an effort to detect deepfakes. Techniques such as face alignment, histogram equalization, and noise reduction can be used before further detection, which aims to identify images or videos that have been edited using AI technology.

  Language:Jupyter Notebook1

• yqx7150/ISDM

  Imaging through scattering media via generative diffusion model

  Language:Python74

• hirowang/try-ghost-imaging

  This is a ghost imaging demonstration for popular science purposes.

  Language:Python5

• ddolzhen/Ghost_Imaging_Scripts

  Language:Jupyter Notebook55

• StevenJohnsonOptics/Single-Pixel-Imaging

  Language:Jupyter Notebook11

• cka09191/Photon_Counter_FPGA_SinglePixelImaging

  Language:Verilog3

• mohamedfarhat-github/SIngle-Pixel-Imaging

  Single pixel imaging techniques implemented in python

  Language:Jupyter Notebook2

• MomeniAli/PhyLL

  Language:Python304

• openspyrit/spyrit

  A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.

  Language:Python4715

• openspyrit/spyrit-examples

  SPYRIT examples including tutorials and research contributions

  Language:Jupyter Notebook116