https://gitee.com/lizhemin15/rmnn-pip
공식 코드A regularized deep matrix factorized model of matrix completion for image restoration
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/12138-chr/mtair
공식 코드Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation
https://github.com/24wenjie-li/awesome-face-restoration
공식 코드Survey on Deep Face Restoration: From Non-blind to Blind and Beyond
https://github.com/5chen/mixnet
공식 코드MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
https://github.com/6272code/6272-code
공식 코드Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network
https://github.com/74587887/dpps_code
공식 코드https://github.com/99eren99/dirfiaf
공식 코드https://github.com/AAleka/Cycle-CBAM-and-CBAM-UNet/tree/main/UNet
공식 코드Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet
https://github.com/AHupuJR/EFNet
공식 코드Event-Based Fusion for Motion Deblurring with Cross-modal Attention
https://github.com/AMD-AIG-AIMA/DoSSR
공식 코드Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
https://github.com/Aitical/MCLIR
공식 코드Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
https://github.com/Aitical/PCL-SISR
공식 코드A Practical Contrastive Learning Framework for Single-Image Super-Resolution
https://github.com/Algolzw/FoD
공식 코드https://github.com/Amazingren/AnyIR
공식 코드https://github.com/Ascend-Research/CascadedGaze
공식 코드CascadedGaze: Efficiency in Global Context Extraction for Image Restoration
https://github.com/Bala93/KD-MRI
공식 코드https://github.com/BoChenGroup/RevSCI-net
공식 코드Memory-Efficient Network for Large-scale Video Compressive Sensing
https://github.com/CVMI-Lab/UHDM
공식 코드Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
https://github.com/CXH-Research/DHAN-SHR
공식 코드Dual-Hybrid Attention Network for Specular Highlight Removal
https://github.com/CXH-Research/StainRestorer
공식 코드https://github.com/CXH-Research/UIE-UnFold
공식 코드https://github.com/CXH-Research/UIR-PolyKernel
공식 코드Underwater Image Restoration via Polymorphic Large Kernel CNNs
https://github.com/DCGM/B-MOD
공식 코드https://github.com/DJ-LYH/EC-VAE
공식 코드https://github.com/DawyD/cnn-map-denoiser
공식 코드https://github.com/Deep-imagelab/AWAN
공식 코드https://github.com/DensenDavis/UDC_Restoration
공식 코드https://github.com/Ding-Liu/NLRN
공식 코드https://github.com/Dongqi-Fan/ConStyle_v2
공식 코드ConStyle v2: A Strong Prompter for All-in-One Image Restoration
https://github.com/Factral/UnMix-NeRF
공식 코드https://github.com/FanChiMao/CMFNet
공식 코드Compound Multi-branch Feature Fusion for Real Image Restoration
https://github.com/FanChiMao/SRMNet
공식 코드https://github.com/GuYuanjie/DeepFusionPrior
공식 코드Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus Imaging
https://github.com/GuanlinLee/FPD-for-Adversarial-Robustness
공식 코드Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
https://github.com/GuoLanqing/Self-Convolution
공식 코드Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration
https://github.com/GuoLanqing/ShadowDiffusion
공식 코드ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.