167 Open source projects that are alternatives of or similar to Scn_matlab

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

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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.

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

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

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

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

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

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

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

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

A video analysis tool built completely in python.

VDSR (CVPR2016) pytorch implementation

AI Super - Resolution

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

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

All image quality metrics you need in one package.

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

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

Official repository of FISR (AAAI 2020).

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

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

Efficient & Generic Video Super-Resolution

A Caffe-based implementation of very deep convolution network for image super-resolution

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

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

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

Multi-frame super-resolution via sub-pixel.

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

AI无损放大工具

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

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

Trainable models and NN optimization tools

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

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

SRDenseNet-pytorch（ICCV_2017）

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

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.

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

将任何窗口放大至全屏

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

Pytorch framework can easily implement srcnn algorithm with excellent performance

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

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

A Python implementation of RAISR

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

A Real-ESRGAN model trained on a custom dataset

Pytorch implementation for LapSRN (CVPR2017)

A Pytorch implemented Deep SR-ITM (ICCV2019)

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

Image Super-Resolution for Anime-Style Art

Generative Adversarial Network for single image super-resolution in high content screening microscopy images