https://github.com/dokyeongK/Single-Image-Super-Resolution-Reimplemenation
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/dslisleedh/NAFNet-flax
https://github.com/dslisleedh/NAFNet-tensorflow2
https://github.com/educating-dip/bayes_dip
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
https://github.com/educating-dip/educated_deep_image_prior
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
https://github.com/egkang-luis/burstm
Burstormer: Burst Image Restoration and Enhancement Transformer
https://github.com/emanueledalsasso/SAR2SAR
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
https://github.com/epochlab/xres
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/facebookresearch/w2ot
https://github.com/fanbeatsman/tensorflow-quick-start-image-processing-focus-
https://github.com/final-0/Real-ESRGAN
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/final-0/Real-ESRGAN-bicubic
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/foolish0/n2n
https://github.com/fpramunno/InDI-implementation
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
https://github.com/francois-rozet/mmps-benchmark
Denoising Diffusion Models for Plug-and-Play Image Restoration
https://github.com/funkdub/DMGN
https://github.com/fvl2020/iccv-2023-mb-taylorformer
https://github.com/georgeyiasemis/RIM-PyTorch
https://github.com/gmalivenko/pynet-v2
Replacing Mobile Camera ISP with a Single Deep Learning Model
https://github.com/goutamgmb/deep-burst-sr
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
https://github.com/goutamgmb/deep-rep
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
https://github.com/gymoon10/Instance-Segmentation-with-SpatialEmbedding-CA
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/hangyuzhu/leakage-attack-in-federated-learning
https://github.com/harshit0511/Unsupervised-Image-denoising
https://github.com/hejingwenhejingwen/AdaFM
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers
https://github.com/hekstra-lab/phase-retrieval
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/hi-paris/deepdespeckling
SAR2SAR: a semi-supervised despeckling algorithm for SAR images
https://github.com/hnt4499/DeFlow
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
https://github.com/hongpeng-guo/deep-image-prior
https://github.com/hungyiwu/average-joe
https://github.com/huyvd7/huyvd7
Deep Graph Laplacian Regularization for Robust Denoising of Real Images
https://github.com/hyt35/prox-qn
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
https://github.com/idearibosome/tf-perceptual-eusr
The 2018 PIRM Challenge on Perceptual Image Super-resolution
https://github.com/iigroup/ahiq
Region-Adaptive Deformable Network for Image Quality Assessment
https://github.com/iigroup/maniqa
Region-Adaptive Deformable Network for Image Quality Assessment
https://github.com/ipc-lab/deepjscc-diffusion
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.