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

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

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

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

3D super-resolution using Generative Adversarial Networks

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

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

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

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Awesome Resources for Advanced Computer Vision Topics

Super Resolution of picture images using deep learning

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

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 [NO LONGER UPDATED]

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

PyTorch on Super Resolution

Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.

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

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

Video super resolution implemented in Pytorch

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

Patch-base progressive 3D Point Set Upsampling

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Frame-Recurrent Video Super-Resolution (official repository)

My personal toolkit for PyTorch development.

A PyTorch Library for Meta-learning Research

Matlab reimplementation of SCNSR

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

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.

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

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

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

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

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

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

[ICLR'19] Meta-learning with differentiable closed-form solvers

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

OpenMMLab Image and Video Editing Toolbox

The py version of toflow → https://github.com/anchen1011/toflow

Awesome GAN for Medical Imaging

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

torch implementation of srgan

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

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

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

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

pytorch implementation of Optimization as a Model for Few-shot Learning

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

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

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

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