https://github.com/yangxy/pasd
공식 코드Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
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/yaziwel/all-in-one-medical-image-restoration-via-task-adaptive-routing
공식 코드All-In-One Medical Image Restoration via Task-Adaptive Routing
https://github.com/yaziwel/region-attention-transformer-for-medical-image-restoration
공식 코드https://github.com/yaziwel/restore-rwkv
공식 코드Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
https://github.com/yc-liang/drt
공식 코드DRT: A Lightweight Single Image Deraining Recursive Transformer
https://github.com/yc4ny/SVAD
공식 코드https://github.com/ychfan/nsr
공식 코드https://github.com/ychfan/scn
공식 코드https://github.com/yfujimura/DCV-release
공식 코드https://github.com/yisiluo/continuous-representation-zoo
공식 코드Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives
https://github.com/ykdai/BracketFlare
공식 코드Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
https://github.com/ykdai/Flare7K
공식 코드https://github.com/yluestc/derain
공식 코드https://github.com/yongleex/GCME
공식 코드Blind Inverse Gamma Correction with Maximized Differential Entropy
https://github.com/youngjoohan/ss-bsn
공식 코드SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity
https://github.com/yousefkotp/Flare-Free-Vision-Empowering-Uformer-with-Depth-Insights
공식 코드https://github.com/yqx7150/hgm
공식 코드High-dimensional Assisted Generative Model for Color Image Restoration
https://github.com/yuanzhi-zhu/diffpir
공식 코드Denoising Diffusion Models for Plug-and-Play Image Restoration
https://github.com/yuanzhi-zhu/oftsr
공식 코드OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
https://github.com/yueruchen/EnlightenGAN
공식 코드EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/yuki-11/csbsr
공식 코드Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
https://github.com/yulu919/eq-reg
공식 코드A Regularization-Guided Equivariant Approach for Image Restoration
https://github.com/yulunzhang/RDN
공식 코드https://github.com/yulunzhang/RNAN
공식 코드https://github.com/yunfanLu/EG-RSDBI
공식 코드UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
https://github.com/yunfanlu/ev-demosaic
공식 코드Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
https://github.com/yunfanlu/uniinr
공식 코드UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
https://github.com/yunguo224/NLCL
공식 코드Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
https://github.com/yunguo224/ug2_deraining
공식 코드https://github.com/yuyanzhou1/improving-lens-flare-removal
공식 코드Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
https://github.com/yz-wang/togethernet
공식 코드https://github.com/z-fabian/MRAugment
공식 코드Data augmentation for deep learning based accelerated MRI reconstruction with limited data
https://github.com/z-fabian/dirac-diffusion
공식 코드DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
https://github.com/z7gao/msglance
공식 코드https://github.com/zbzhzhy/gd-net
공식 코드Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
https://github.com/zbzhzhy/unsupervised-spectral-reconstruction
공식 코드Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.