n2v
Image denoiser
A noise reduction algorithm trained on noisy images without target images or paired data
This is the implementation of Noise2Void training.
414 stars
20 watching
114 forks
Language: Python
last commit: 10 months ago
Linked from 1 awesome list
hallvaaw/awesome-biological-image-analysisRelated projects:
| Repository | Description | Stars |
|---|---|---|
 nvlabs/snn | An image denoising algorithm implementing a statistical approach to improve traditional methods | 42 |
 weitw/imagedenoise | Develops and compares various image denoising algorithms using MATLAB and deep learning | 144 |
 csjunxu/twsc-eccv2018 | A Matlab implementation of an image denoising scheme based on sparse coding and trilateral weighting. | 91 |
 njusthyk1972/nlh | Software implementing a blind pixel-level non-local method for image denoising using additive Gaussian white noise. | 49 |
 jblindsay/fp_denoise | A tool for de-noising raster digital elevation models using feature-preserving algorithms | 17 |
 lizonghang/dct-fft-and-denoising | A Matlab implementation of various image denoising techniques using DCT and FFT | 100 |
 renderkit/oidn | A high-performance denoising filter library for images rendered with ray tracing | 1,822 |
 huanglabpurdue/ncs | An algorithm to reduce noise in images from sCMOS cameras | 29 |
 nvpro-samples/vk_denoise | This project demonstrates how to use the OptiX denoiser on Vulkan ray-traced images | 89 |
 hjimce/o2u-net | An approach to detect noise in labels used with deep neural networks during training | 77 |
 hjprint/university_project_vmd_majorization | A MATLAB implementation of a variable-model data fusion algorithm for removing noise from images and generating denoised images | 81 |
 uds-lsv/multi-tasking_learning_with_unreliable_labels | An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation. | 8 |
 nust-machine-intelligence-laboratory/jo-src | An implementation of a contrastive learning approach to address noisy labels in machine learning models | 5 |
 ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
 delchiaro/training-cnn-noisy-labels-keras | An implementation of a deep learning training method for handling noisy labels in convolutional neural networks using the VGG-16 network architecture. | 6 |