https://github.com/hekstra-lab/phase-retrieval
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Papers with Code 아카이브
Image Denoising
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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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/hellloxiaotian/DudeNet
https://github.com/hi-paris/deepdespeckling
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
https://github.com/hongpeng-guo/deep-image-prior
https://github.com/huyvd7/huyvd7
Deep Graph Laplacian Regularization for Robust Denoising of Real Images
https://github.com/huyvnphan/Learning-To-See-In-The-Dark
https://github.com/hyeongyuy/CT-WGAN_VGG_tensorflow
https://github.com/icthrm/sc-net
https://github.com/jaayeon/WGAN_VGG
https://github.com/jiangyitong/RCD
https://github.com/jimmycv07/DiffIR2VR-Zero
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
https://github.com/jingyunliang/vrt
https://github.com/jorgmateos/uformer-google-colab
Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/juglab/HDN
Interpretable Unsupervised Diversity Denoising and Artefact Removal
https://github.com/juglab/N2V_fiji
https://github.com/juglab/n2v
https://github.com/juglab/pn2v
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
https://github.com/jupiterman/Super-Resolution-Images
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/kauziishere/lowLightImageEnhancement
https://github.com/kfallah/NODE-Denoiser
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/lavolpiana/deep-image-prior
https://github.com/lee-aaron/Image-Super-Resolution
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/leekanggeun/ISCL
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
https://github.com/leftthomas/restormer
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/leili666/denoise_deep_learning
https://github.com/leonmakise/NBNet_Pytorch
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
https://github.com/lime-j/nafnet-jax
https://github.com/linxin0/low_light_rainy
https://github.com/lucidrains/ddpm-proteins
Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/lucidrains/uformer-pytorch
Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/lyqcom/brdnet
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
https://github.com/lzhengchun/TomoGAN
https://github.com/lzhengchun/deep-image-prior-tensorflow
https://github.com/m2ci-msp/mri-shape-framework
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract
https://github.com/m2ci-msp/mri-shape-tools
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract
https://github.com/manyids2/kornia
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.