167 Open source projects that are alternatives of or similar to Hyperspectral Image Spatial Super Resolution Via 3d Full Convolutional Neural Network

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

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

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

All image quality metrics you need in one package.

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

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

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

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

A Real-ESRGAN model trained on a custom dataset

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.

VDSR (CVPR2016) pytorch implementation

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

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

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

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

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

A Python implementation of RAISR

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

Trainable models and NN optimization tools

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

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

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

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

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

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

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

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

TOFlow: Video Enhancement with Task-Oriented Flow

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

A modern PyTorch implementation of SRGAN

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

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

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

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

Benchmark and resources for single super-resolution algorithms

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Image Super-Resolution for Anime-Style Art

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

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

Bicubic interpolation for images (Python)

Scale-wise Convolution for Image Restoration

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

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

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

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.

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

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

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

A Pytorch implemented Deep SR-ITM (ICCV2019)

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

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