idealo / image-super-resolutionLinks
π Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
β4,818Updated last year
Alternatives and similar repositories for image-super-resolution
Users that are interested in image-super-resolution are comparing it to the libraries listed below
Sorting:
- Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolutionβ1,517Updated 3 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkβ3,465Updated last year
- Upscale an image by a factor of 4, while generating photo-realistic details.β1,039Updated 4 months ago
- A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.β1,681Updated 5 years ago
- PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)β2,606Updated 3 years ago
- Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networksβ1,713Updated 5 months ago
- Tensorflow implementation of the SRGAN algorithm for single image super-resolutionβ858Updated 2 years ago
- A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deepβ¦β713Updated 2 years ago
- Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNβ¦β8,104Updated last year
- Implementation of Super Resolution CNN in Keras.β840Updated last year
- A collection of high-impact and state-of-the-art SR methodsβ1,895Updated 2 years ago
- DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oralβ3,457Updated last year
- ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.β6,529Updated 3 years ago
- Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)β947Updated 3 years ago
- Collect super-resolution related papers, data, repositoriesβ3,002Updated last week
- PyTorch implementation of Super SloMo by Jiang et al.β3,030Updated 2 years ago
- Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)β929Updated 4 years ago
- A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fpsβ699Updated this week
- Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformabβ¦β1,561Updated 4 years ago
- Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paperβ1,537Updated 4 years ago
- Image Deblurring using Generative Adversarial Networksβ2,634Updated 6 years ago
- A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial β¦β1,241Updated last year
- Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.β3,464Updated 2 years ago
- Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"β3,347Updated 2 years ago
- Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!β1,346Updated last year
- Image restoration with neural networks but without learning.β8,066Updated 2 years ago
- Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.aiβ910Updated 2 years ago
- An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"β1,090Updated 4 years ago
- PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"β1,483Updated 10 months ago
- collection of super-resolution models & algorithmsβ750Updated 7 years ago