167 Open source projects that are alternatives of or similar to Dcscn Super Resolution

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

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

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

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

VDSR (CVPR2016) pytorch implementation

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

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

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

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

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

A video analysis tool built completely in python.

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

A Real-ESRGAN model trained on a custom dataset

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

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

All image quality metrics you need in one package.

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

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

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

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

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

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.

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’.

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

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

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

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

Bicubic interpolation for images (Python)

TOFlow: Video Enhancement with Task-Oriented Flow

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

Image Super-Resolution for Anime-Style Art

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

A modern PyTorch implementation of SRGAN

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)

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

Pytorch implementation for SRDenseNet (ICCV2017)

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

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

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

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

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

A survey of recent application of deep learning on super-resolution tasks

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

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

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

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

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

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

A Python implementation of RAISR

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

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