https://github.com/vcarehuman/YoloPose
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
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/ved27/RED-net
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/venkat2319/Mirnet
Learning Enriched Features for Real Image Restoration and Enhancement
https://github.com/vijishmadhavan/SkinDeep
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/vinayak19th/ARCNN-keras
Compression Artifacts Reduction by a Deep Convolutional Network
https://github.com/vita-group/deblurganv2
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/vlcekl/n2n-tomo
https://github.com/volvet/ARCNN
Compression Artifacts Reduction by a Deep Convolutional Network
https://github.com/vztu/maxim-pytorch
https://github.com/wackygerbs/NAS-DIP
https://github.com/weitingchen83/iccv2021-single-image-desnowing-hdcwnet
https://github.com/weivision/correlational-image-modeling
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
https://github.com/wkhademi/ImageEnhancement
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/wustl-cig/FLAIR
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
https://github.com/wwhio/megmodels
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/wwwAych/AutoVideoColor
https://github.com/xiangtaokong/tgbd
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
https://github.com/xlearning-scu/2022-cvpr-airnet
https://github.com/xypeng9903/k-diffusion-inverse-problems
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
https://github.com/yaegasikk/howtoengan
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/yangyucheng000/University/tree/main/model-3/swin2sr
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
https://github.com/yasamin-niknam/Image-Restoration
https://github.com/yhjo09/AdaTarget
https://github.com/yilinliu97/fasterdip-devil-in-upsampling
https://github.com/yjn870/REDNet-pytorch
https://github.com/yohan-pg/robust-unsupervised
https://github.com/yokotatsuya/MMES
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior
https://github.com/ys-koshelev/lgd
https://github.com/ysook1m/Enhanced_KernelGAN
https://github.com/yuanjunchai/IKC
https://github.com/yuke93/Path-Restore
Path-Restore: Learning Network Path Selection for Image Restoration
https://github.com/yuke93/RL-Restore
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
https://github.com/yuke93/ReconfigISP
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
https://github.com/yunfanlu/awesome-image-prior
https://github.com/yunpeng-shi/fast-cryoem-pca
Ab-initio Contrast Estimation and Denoising of Cryo-EM Images
https://github.com/yyunon/reproducibility-project-group-71
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.