https://github.com/MNaseerSubhani/MVTec-Anomaly-Detection-For-Industry
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Papers with Code 아카이브
Image Restoration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 13
- 평가표
- 3
- 보존된 평가 기록
- 17
Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Magauiya/Extended_SURE
https://github.com/MatusPilnan/nsiete-project
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/MaudBqrd/VBLE
Variational Bayes image restoration with compressive autoencoders
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Deep_Image_Prior
https://github.com/MehranSoltani94/ChannelNet
https://github.com/Min-Jaewon/PSLD_PAG
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
https://github.com/Mind23-2/MindCode-101/tree/main/IPT
https://github.com/Mind23-2/MindCode-3/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/Mind23-2/MindCode-94
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/MindCode-4/code-10/tree/main/UColor
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/MindCode-4/code-14/tree/main/UColor
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/MindCode-4/code-5/tree/main/swin2sr
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
https://github.com/MindCode-4/code-8/tree/main/Projected-Distribution
https://github.com/MindSpore-MS-Code2/code0/tree/main/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/MindSpore-paper-code-3/code4/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/MindSpore-paper-code-3/code8/tree/main/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/MindSpore-paper-code-3/code9/tree/main/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/MindSpore-scientific/code-5/tree/main/Projected-Distribution
https://github.com/NJU-PCALab/AddSR
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
https://github.com/NaChuaN666/UP-CrackNet
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration
https://github.com/Nero-Disney/MICROSOFT_Bringing-Old-Photos-Back-to-Life
https://github.com/NikolaZubic/2dimageto3dmodel
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution
https://github.com/Nikolai10/Diffusion-TF
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
https://github.com/OlafChrist-github/Image-Denoising-using-Keras
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/PaddlePaddle/PaddleSpeech
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
https://github.com/Pol22/NAS_DIP
https://github.com/QLinhHub/Image-super-resolution
https://github.com/Rishit-dagli/MIRNet-TFJS
Learning Enriched Features for Real Image Restoration and Enhancement
https://github.com/RomanovIgnat/KernelGAN
Blind Super-Resolution Kernel Estimation using an Internal-GAN
https://github.com/S-aiueo32/dni-demo
Deep Network Interpolation for Continuous Imagery Effect Transition
https://github.com/Saafke/EDSR_Tensorflow
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/Sang2710/Bringing-old-photos-back-to-life
https://github.com/Scientific-Research-Algorithm-Toolbox/SCI-algorithms
Memory-Efficient Network for Large-scale Video Compressive Sensing
https://github.com/ShakedDovrat/JpegArtifactRemoval
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/Shakib-IO/Diminishing_Image_Noise_Using_Deep_Learning
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.