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/zeqiang-lai/dphsir
공식 코드Deep Plug-and-Play Prior for Hyperspectral Image Restoration
https://github.com/zeyuxiao1997/EDPN
공식 코드EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
https://github.com/zhangbaijin/enlighten-anything
공식 코드Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement
https://github.com/zhangbaijin/memorynet
공식 코드https://github.com/zhangbingliang2019/DAPS
공식 코드Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
https://github.com/zhangyi-3/kbnet
공식 코드https://github.com/zhaoyuzhi/Hierarchical-Regression-Network-for-Spectral-Reconstruction-from-RGB-Images
공식 코드Hierarchical Regression Network for Spectral Reconstruction from RGB Images
https://github.com/zhaoyuzhi/d2hnet
공식 코드D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
https://github.com/zhaoyuzhi/qrnet
공식 코드Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
https://github.com/zhehuiwu/mp-hsir
공식 코드MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
https://github.com/zhengchen1999/cat
공식 코드https://github.com/zhengdharia/LUD-VAE
공식 코드Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach
https://github.com/zhengdharia/SeNM-VAE
공식 코드SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
https://github.com/zhihefang/wf-diff
공식 코드https://github.com/zhoujingchun03/smdr-is
공식 코드Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
https://github.com/zhoushen1/MEASNet
공식 코드Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration
https://github.com/zhuangpeiyu/reloc
공식 코드ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization
https://github.com/zj-binxia/bbcu
공식 코드Basic Binary Convolution Unit for Binarized Image Restoration Network
https://github.com/zj-binxia/diffir
공식 코드https://github.com/zj-binxia/kdsr
공식 코드Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
https://github.com/zj-binxia/mrda
공식 코드Meta-Learning based Degradation Representation for Blind Super-Resolution
https://github.com/zju-jiangqi/aci-pi2rnet
공식 코드Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
https://github.com/zkawfanx/atlantis
공식 코드Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion
https://github.com/zsc15/HPPP
공식 코드HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
https://github.com/zsyOAOA/VIRNet
공식 코드https://github.com/zsyoaoa/resshift
공식 코드Efficient Diffusion Model for Image Restoration by Residual Shifting
https://github.com/zzr-idam/Under-Display-Camera-UAV
공식 코드Zero-Reference Image Restoration for Under-Display Camera of UAV
https://github.com/zzr-idam/mixnet
공식 코드MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
https://github.com/zzr-idam/uvm-net
공식 코드https://github.com/zzr728/sagan
공식 코드https://github.com/zzzhang-jx/docres
공식 코드DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
https://github.com/zzzqzhou/ram-dsir
공식 코드https://gitlab.com/Queuecumber/quantization-guided-ac
공식 코드https://gitlab.com/iiit-public/lfcnn
공식 코드https://gitlab.com/trougnouf/rawnind_jddc
공식 코드Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.