187 Open source projects that are alternatives of or similar to LightFieldReconstruction

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’.

SwinIR: Image Restoration Using Swin Transformer (official repository)

AI无损放大工具

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

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

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

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

Collecting papers about new view synthesis

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

Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).

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

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.

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

Multi-frame super-resolution via sub-pixel.

Code and Datasets for "Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement", Pattern Recognition, 2019

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

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

Official repository of FISR (AAAI 2020).

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

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

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

Efficient & Generic Video Super-Resolution

Pytorch framework can easily implement srcnn algorithm with excellent performance

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

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

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

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

A generic framework which implements some famouts super-resolution models

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

A video analysis tool built completely in python.

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。

Super Resolution for Anime image, lightweight implementation

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

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。

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".

SRDenseNet-pytorch（ICCV_2017）

Super-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.

Pytorch implementation for LapSRN (CVPR2017)

将任何窗口放大至全屏

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

A TensorFlow implementation of a simple Novel View Synthesis model on ShapeNet (cars and chairs), KITTI, and Synthia.

AI Super - Resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A collection of tools for painting super-resolution images

computational zoom from raw sensor data

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

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

This paper is accepted by ICCV 2021.

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

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

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

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

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

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

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