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/andrewhproppe/phaseretrievalnns
https://github.com/ankitf/artifact_reduction_jpeg
Compression Artifacts Reduction by a Deep Convolutional Network
https://github.com/anushka-s/Image-restoration-using-deep-image-prior
https://github.com/anushkayadav/Denoising_cifar10
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/arsenyinfo/EnlightenGAN-inference
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/avi33/StyleMelGan-Unofficial
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
https://github.com/ayanc/rpcnn
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
https://github.com/ayanglab/swinganmr
https://github.com/ayanglab/swinmr
https://github.com/ayushnawal/Channel-Estimation
https://github.com/bayuudachi/Real-esr-gan
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/bchao1/awesome-image-enhancement
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/bochaozhao/Super_resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/bruinxiong/RNAN
https://github.com/buriedms/Old2Life-Paddle
https://github.com/c-yn/OKNet
https://github.com/caiyuanhao1998/MST-plus-plus
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
https://github.com/caiyuanhao1998/bisci
Basic Binary Convolution Unit for Binarized Image Restoration Network
https://github.com/chintan1995/Image-Denoising-using-Deep-Learning
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
https://github.com/chxy95/hat
https://github.com/cig-skoltech/burst-cvpr-2019
https://github.com/cmhungsteve/Awesome-Transformer-Attention
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
https://github.com/code-implementation1/Code1/tree/main/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/code-implementation1/Code3/tree/main/ESRGAN
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/code-implementation1/Code4/tree/main/IRN
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
https://github.com/coloquinte/torchsr
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/cscss/DBVSR
https://github.com/cszhilu1998/selfhdr
Exposure Bracketing Is All You Need For A High-Quality Image
https://github.com/danielenricocahall/Keras-UNet
https://github.com/deepinv/deepinv
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
https://github.com/del1and/openSW_Detector
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/dhryougit/afm
https://github.com/dhryougit/learning-to-translate-noise
https://github.com/dminzi98/super-resolution-for-MRIs
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/dniku/perceptual-gradient-networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.