https://github.com/SimoneDutto/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
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/SofiaBlinova/EDSR-net
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/TAMU-VITA/DeblurGANv2
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/TAMU-VITA/USAID
Segmentation-Aware Image Denoising without Knowing True Segmentation
https://github.com/TencentARC/FAIG
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
https://github.com/Thehunk1206/Image-Restorers
https://github.com/TingdiRen/URSCT-SESR
https://github.com/V0LsTeR/mySuperRes
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/VITA-Group/EnlightenGAN
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/VLOGroup/mri-variationalnetwork
On learning optimized reaction diffusion processes for effective image restoration
https://github.com/VLOGroup/tdv
https://github.com/VLOGroup/tensorflow-icg
On learning optimized reaction diffusion processes for effective image restoration
https://github.com/WangChen0902/noise2noise-paddle
https://github.com/Wenchao-Du/Neighbor2Neighbor_Pytorch
https://github.com/WuWanyu98/ONVE
https://github.com/XPixelGroup/BasicSR
https://github.com/YilinLiu97/Faster-DIP-Recon
https://github.com/ZZL-1998/MW-ISPNet
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
https://github.com/Zdafeng/SwinFIR
https://github.com/ZhaoHengrun/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/ZhengJun-AI/MoirePhotoRestoration-MCNN
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
https://github.com/ZhenyuTan/Noise2Noise-Cryo-EM-image-denoising
https://github.com/Zorrat/Image-Denoiser-Supersampling-and-Editor
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/abbasi-ali/noise2self
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/ah7149407/ee193-03_project
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
https://github.com/aiff22/PyNET-PyTorch
Replacing Mobile Camera ISP with a Single Deep Learning Model
https://github.com/akalia77/hinet
HINet: Half Instance Normalization Network for Image Restoration
https://github.com/akashpalrecha/deblurring-pipeline
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/akashpalrecha/superres-deformable
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/algolzw/dcls
Deep Constrained Least Squares for Blind Image Super-Resolution
https://github.com/alililia/wdsr_Ascend
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/alililia/wdsr_GPU
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/alterzero/DBPN-Pytorch
The 2018 PIRM Challenge on Perceptual Image Super-resolution
https://github.com/alterzero/RBPN-PyTorch
The 2018 PIRM Challenge on Perceptual Image Super-resolution
https://github.com/alterzero/STARnet
The 2018 PIRM Challenge on Perceptual Image Super-resolution
https://github.com/andreamazzitelli/ProjectNN
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.