270 Open source projects that are alternatives of or similar to MLSR

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

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

Video super resolution implemented in Pytorch

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

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.

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

Awesome GAN for Medical Imaging

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

Pytorch framework can easily implement srcnn algorithm with excellent performance

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

PyTorch on Super Resolution

computational zoom from raw sensor data

Frame-Recurrent Video Super-Resolution (official repository)

Learning To Compare For Text , Few shot learning in text classification

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

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

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

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 …

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

A High-Quality Real Time Upscaler for Anime Video

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

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

awesome few shot / meta learning papers

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

SRDenseNet-pytorch（ICCV_2017）

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

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

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

Awesome Few-shot learning

OpenMMLab Image and Video Editing Toolbox

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

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

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Pytorch implementation for LapSRN (CVPR2017)

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

TensorFlow 2.0 implementation of MAML.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

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

Patch-base progressive 3D Point Set Upsampling

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.

Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

将任何窗口放大至全屏

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Implementation for <Neural Similarity Learning> in NeurIPS'19.

Code for FOCAL Paper Published at ICLR 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.

LibFewShot: A Comprehensive Library for Few-shot Learning.

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"