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

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

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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’.

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

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

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。

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Official repository of FISR (AAAI 2020).

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

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Torch implementation of "Enhanced Deep Residual Networks for Single 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 lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

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

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

Multi-frame super-resolution via sub-pixel.

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

AI无损放大工具

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

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

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

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

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SRDenseNet-pytorch（ICCV_2017）

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

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.

A Python implementation of RAISR

将任何窗口放大至全屏

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

Pytorch framework can easily implement srcnn algorithm with excellent performance

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

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

A Real-ESRGAN model trained on a custom dataset

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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

Pytorch implementation for LapSRN (CVPR2017)

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

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

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

Manual, source-code and binaries for the NanoJ-Fluidics project

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

Benchmark and resources for single super-resolution algorithms

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

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