167 Open source projects that are alternatives of or similar to Srcnn Tensorflow

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

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

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

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

AI Super - Resolution

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

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

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’.

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

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

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。

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

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

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

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

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

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

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

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

A video analysis tool built completely in python.

VDSR (CVPR2016) pytorch implementation

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

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

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

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

A modern PyTorch implementation of SRGAN

Bicubic interpolation for images (Python)

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

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

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

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

Image Super-Resolution for Anime-Style Art

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

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

Pytorch implementation for SRDenseNet (ICCV2017)

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

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

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

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

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

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

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

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

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

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A generic framework which implements some famouts super-resolution models

TOFlow: Video Enhancement with Task-Oriented Flow

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

A Python implementation of RAISR

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

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.

All image quality metrics you need in one package.

A Real-ESRGAN model trained on a custom dataset