https://github.com/iridescentttt/SynQT
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
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/iset/iset3d
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network
https://github.com/ishandutta2007/Image-Denoising-Landscape
https://github.com/itsuki8914/simply-noise2noise-TF
https://github.com/iver56/automatic-video-colorization
https://github.com/jamesgolden1/mri_super_resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/jiamian-wang/iterative-soft-shrinkage-sr
https://github.com/jiangyitong/AutoDIR
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
https://github.com/jianzhangcs/GSR
https://github.com/jihoojo03/UNet-CBAM_Keras
https://github.com/joeylitalien/noise2noise-pytorch
https://github.com/johnPertoft/noise2noise
https://github.com/jorgmateos/uformer-google-colab
Uformer: A General U-Shaped Transformer for Image Restoration
https://github.com/jplumail/learning-image-restoration
On learning optimized reaction diffusion processes for effective image restoration
https://github.com/juglab/DivNoising
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
https://github.com/juglab/HDN
Interpretable Unsupervised Diversity Denoising and Artefact Removal
https://github.com/juglab/Noise2Noise-with-CSBDeep
https://github.com/juglab/cryocare_t2t
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
https://github.com/jupiterman/Super-Resolution-Images
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/kdhRick2222/Exposure-slot
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
https://github.com/kfallah/NODE-Denoiser
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/kingcong/UColor-MindSpore-
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/kornia/kornia
https://github.com/krasserm/super-resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/kritiksoman/GIMP-ML
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/kunzmi/ImageStackAlignator
https://github.com/kzkymur/transition
Deep Network Interpolation for Continuous Imagery Effect Transition
https://github.com/laowng/GISR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/laulampaul/WDNet_demoire
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/leftthomas/restormer
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/leili666/denoise_deep_learning
https://github.com/likesum/unsupimg
https://github.com/lime-j/nafnet-jax
https://github.com/linxin0/scpgabnet
Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.