196 Open source projects that are alternatives of or similar to Super Resolution Videos

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

Trainable models and NN optimization tools

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

Insight Face on TensorFlow

HyperPose: A Collection of Real-time Human Pose Estimation

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

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

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Real-World Super-Resolution via Kernel Estimation and Noise Injection

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

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.

Matlab reimplementation of SCNSR

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

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

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

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Image Super-Resolution for Anime-Style Art

A Pytorch implemented Deep SR-ITM (ICCV2019)

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

Chatbot in 200 lines of code using TensorLayer

TensorLayer 中文文档

商用级垃圾文本分类器

Benchmark and resources for single super-resolution algorithms

Official repository of JSI-GAN (Accepted at AAAI 2020).

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

The py version of toflow → https://github.com/anchen1011/toflow

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

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

Generative Adversarial Text to Image Synthesis / Please Star -->

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

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

A Python implementation of RAISR

Re-implement CycleGAN in Tensorlayer

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Scale-wise Convolution for Image Restoration

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

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

U-Net Brain Tumor Segmentation

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

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

Super Resolution of picture images using deep learning

How to use TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

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

Awesome Resources for Advanced Computer Vision Topics

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

torch implementation of srgan

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