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70 search results found

Image Super Resolution ⭐ 4,392

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

Srgan ⭐ 3,197

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

Super Resolution ⭐ 1,441

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Coreml Models ⭐ 1,012

Converted CoreML Model Zoo.

Videosuperresolution ⭐ 916

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Srgan Tensorflow ⭐ 694

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Dcscn Super Resolution ⭐ 687

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

Fast Srgan ⭐ 559

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Srcnn Tensorflow ⭐ 435

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Pixel Recursive Super Resolution ⭐ 357

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

Edsr Tensorflow ⭐ 298

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Deep_learning_tutorial ⭐ 192

[ko] 패스트캠퍼스 강의 자료

Patch-base progressive 3D Point Set Upsampling

Tecogan Pytorch ⭐ 126

A PyTorch Reimplementation of TecoGAN: Temporally Coherent GAN for Video Super-Resolution

Open Intelligence ⭐ 125

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

Enhancenet Code ⭐ 123

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Rdn Tensorflow ⭐ 123

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

Deeply Recursive Cnn Tf ⭐ 114

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Vsr Duf Reimplement ⭐ 90

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

Awesome Computer Vision Resources ⭐ 70

a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。

Official repository of FISR (AAAI 2020).

Edsr_tensorflow ⭐ 60

TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

Deep Video Super Resolution ⭐ 52

The state-of-the-art VSR

Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Propagation" (https://arxiv.org/abs/1909.08080).

SRZoo: An integrated repository for super-resolution using deep learning

Tf Perceptual Eusr ⭐ 43

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

Tensorflow Espcn ⭐ 42

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

Fsrcnn Tensorflow ⭐ 39

An implementation of the fast super-resolution convolutional neural network in TensorFlow

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662

Rcan Tensorflow ⭐ 36

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

Tensorflow Sr Densenet ⭐ 34

Tensorflow with Image Super-Resolution Using Dense Skip Connections , color

Tensorflow implementation of single image super-resolution using a Convolutional Neural Network

Model Zoo ⭐ 29

Implementations of various Deep Learning models in PyTorch and TensorFlow.

Lightfieldreconstruction ⭐ 28

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Tensorflow Srgan ⭐ 26

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Tf Bsrn Sr ⭐ 25

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

Esrgan Tf2 ⭐ 23

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Esrgan Tensorflow ⭐ 23

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Super Resolution Srdpns Tensorflow ⭐ 22

My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks

Image Super Resolution Application ⭐ 22

This is an Image Super Resolution model implemented in python using keras. This model comes with a GUI to allow users to make use of the model easily.

Super Resolution_cnn ⭐ 22

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

Idn Tensorflow ⭐ 21

Tensorflow implementation of IDN (CVPR 2018)

Srgan With Wgan Loss Tensorflow ⭐ 18

SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow

Enhancenet Tensorflow ⭐ 18

Tensorflow implementation of EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

Super_resolution ⭐ 17

优酷阿里超分辨率重构比赛

Residual Dense Network Trained With Cgan For Super Resolution ⭐ 17

This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

Esrgan Tensorflow ⭐ 16

A tensorflow implementation of ESRGAN

Srcnn Anime ⭐ 16

A Super-Resolution Convolutional Neural Network builds for artwork, anime, and illustration. Senior Project - Artwork Enlargement and Quality Improvement using Machine Learning. ICITEE 2021 - Enhancement of Anime Imaging Enlargement Using Modified Super-Resolution CNN.

Imageenhancement ⭐ 16

Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.

Srgan Tensorflow ⭐ 16

A tensorflow implementation of SRGAN(super-resolution generative adversarial network).

Subpixel_conv2d ⭐ 15

Sub-Pixel Convolutional Layer with Tensorflow/Keras

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

Super Resolution Net ⭐ 15

SRNet 的 Keras 实现

Tensorflow Bicubic Downsample ⭐ 14

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

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

W2s Tensorflow ⭐ 12

Miscroscopy Image Restoration using Deep learning on the W2S dataset

Idn Tensorflow ⭐ 12

TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Fsrcnn_tensorflow ⭐ 12

Tensorflow implementation of 'Accelerating the Super-Resolution Convolutional Neural Network'.

Super Resolution ⭐ 10

Video enhancement system leveraging ESRGAN and OpenCV to upscale frames and revitalize videos with superior visual quality.

Super Resolution With Fsrcnn ⭐ 10

Implementation of the paper on Fast Super Resolution CNN

MDSR 的 Keras 实现

Style Image Prior ⭐ 9

Official Implementation of "Style Generator Inversion for Image Enhancement and Animation".

Superresolutionwaifunn ⭐ 9

I wanted to build my own implementation of waifu2x using Keras and TensorFlow, but I ended up using a slightly different architecture.

Web Deep Image Prior ⭐ 9

Deep Image Prior for denoising, superresolution, inpainting and more in the browser

Image Enhance Keras ⭐ 9

Image super-resolution (restoration of rich details in a low resolution image)

Insight AI project: Real-time video super-resolution

Residual Dense Net For Super Resolution ⭐ 8

Real Time Super Resolution ⭐ 8

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

TensorFlow implementation of SRCNN

Awesome Super Resolution ⭐ 6

lots of single image super resolution model implementations in tensorflow

Perceptual Loss Style Transfer ⭐ 5

Tensorflow Implementation: Johnson, J., Alahi, A. and Fei-Fei, L., 2016, October. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision (pp. 694-711). Springer, Cham.

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