167 Open source projects that are alternatives of or similar to Keras Image Super Resolution

Multi-frame super-resolution via sub-pixel.

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

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Super Resolution for Anime image, lightweight implementation

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

SRDenseNet-pytorch（ICCV_2017）

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

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Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

Pytorch framework can easily implement srcnn algorithm with excellent performance

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

computational zoom from raw sensor data

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

Pytorch implementation for LapSRN (CVPR2017)

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

A High-Quality Real Time Upscaler for Anime Video

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Video super resolution implemented in Pytorch

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

PyTorch on Super Resolution

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

OpenMMLab Image and Video Editing Toolbox

Frame-Recurrent Video Super-Resolution (official repository)

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision