https://github.com/njusthyk1972/NLH
공식 코드NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
Papers with Code 아카이브
Image Denoising
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 21
- 보존된 평가 기록
- 110
Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing, and can reduce image quality and make it difficult to interpret. Image denoising techniques aim to restore an image to its original quality by reducing or removing the noise, while preserving the important features of the image.
<span style="color:grey; opacity: 0.6">( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nurlanov-zh/sublabel-accurate-alpha-expansion
공식 코드Efficient and Flexible Sublabel-Accurate Energy Minimization
https://github.com/ohayonguy/PMRF
공식 코드Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
https://github.com/onwn/c2n
공식 코드C2N: Practical Generative Noise Modeling for Real-World Denoising
https://github.com/opendenoising/benchmark
공식 코드OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers
https://github.com/orhan-t/sm-cnn
공식 코드Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks
https://github.com/ozgurkara99/ISNAS-DIP
공식 코드ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
https://github.com/p1y2z3/sdap
공식 코드Random Sub-Samples Generation for Self-Supervised Real Image Denoising
https://github.com/paubric/python-fuse-coconet
공식 코드CocoNet: A deep neural network for mapping pixel coordinates to color values
https://github.com/pelletierlab/noise2fast
공식 코드Noise2Fast: Fast Self-Supervised Single Image Blind Denoising
https://github.com/pirofti/ParallelSeparableDL
공식 코드https://github.com/qiuxuanzhizi/qwsnm
공식 코드https://github.com/qiyuantian/sdndti
공식 코드SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
https://github.com/quell-devs/quell
공식 코드https://github.com/rachddou/deadleavesplus
공식 코드VibrantLeaves: A principled parametric image generator for training deep restoration models
https://github.com/rami0205/lwdn
공식 코드Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training
https://github.com/raymondyeh07/tv_layers_for_cv
공식 코드https://github.com/razvanmarinescu/brgm
공식 코드https://github.com/razvanmarinescu/brgm-pytorch
공식 코드https://github.com/renanrojasg/adv_robust_autoencoder
공식 코드https://github.com/rengotj/cobra_denoising
공식 코드Non-linear aggregation of filters to improve image denoising
https://github.com/reyhanehne/cvf-sid_pytorch
공식 코드https://github.com/rfuruta/pixelRL
공식 코드PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
https://github.com/rgsl888/U-Finger-A-Fingerprint-Denosing-Network
공식 코드U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting
https://github.com/rhgao/on-demand-learning
공식 코드https://github.com/ricedsp/D-AMP_Toolbox
공식 코드https://github.com/ronjonxu/naid
공식 코드NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
https://github.com/rskarkare/Robust-Hadamard-Autoencoders
공식 코드Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders
https://github.com/ruanyuhui/adn-qsdl
공식 코드https://github.com/saeed-anwar/IERD
공식 코드https://github.com/samsad35/code-mdvae
공식 코드A multimodal dynamical variational autoencoder for audiovisual speech representation learning
https://github.com/sayantondibbo/sca
공식 코드Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
https://github.com/sdl-asu/acla
공식 코드https://github.com/seeker98/crwkv
공식 코드Multi-View Learning with Context-Guided Receptance for Image Denoising
https://github.com/sfm-sr-denoising/sfm
공식 코드Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
https://github.com/shenduke/saffn
공식 코드Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.