1028 Open source projects that are alternatives of or similar to Srgan

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

food image to recipe with deep convolutional neural networks.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A modern PyTorch implementation of SRGAN

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

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

Video Classification using 2 stream CNN

Densely Connected Pyramid Dehazing Network (CVPR'2018)

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Symbolic Music Genre Transfer with CycleGAN

PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

The Simplest DCGAN Implementation

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

ImageNet pre-trained models with batch normalization for the Caffe framework

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

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

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

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Awesome Resources for Advanced Computer Vision Topics

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

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

🙄 Difficult algorithm, Simple code.

A DCGAN to generate anime faces using custom mined dataset

Neural Style implementation in PyTorch! 🎨

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

A deep learning library to provide algs in pure Numpy or Tensorflow.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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.

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Generative Adversarial Text to Image Synthesis / Please Star -->

A High-Quality Real Time Upscaler for Anime Video

TensorFlow and Deep Learning Tutorials

The VGG16 and VGG19 networks in caffe with jupyter notebook

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Implementation of Neural Image Captioning model using Keras with Theano backend

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

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Re-implement CycleGAN in Tensorlayer

3D super-resolution using Generative Adversarial Networks

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

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.

Artificial Intelligence Learning Notes.

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

Pre-trained VGG-Net Model for image classification using tensorflow

No description or website provided.

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Awesome GAN for Medical Imaging

코딩셰프의 3분 딥러닝, 케라스맛

Deep learning codes and projects using Python