713 Open source projects that are alternatives of or similar to Paddlegan

Using Machine Learning to predict the type of exercise from movement data

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

A DCGAN that generate Cat pictures 🐱‍💻

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Visualization of GAN training process

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

침착한 생성모델 학습기

Projecting images to latent space with StyleGAN2.

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

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

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

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

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

[ECCV 2020] XingGAN for Person Image Generation

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'

Collection of generative models in Pytorch version.

A Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

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

A PyTorch implementation for StyleGAN with full features.

This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

Compute FID scores with PyTorch.

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

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.

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

A collection of deep learning tutorials using Tensorflow and Python

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

人像卡通化探索项目 (photo-to-cartoon translation project)

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Official implementation of FQ-GAN

Image Caption and Text to Image papers.

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

PWA asset generator perfect with VueJS framework (but useful for all PWA!)

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

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

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

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

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

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Matlab reimplementation of SCNSR

Add colors to black and white images with neural networks (GANs).

implement infoGAN using pytorch

Tensorflow Implementation of GAN modeling for sequential data

Code for GAN2Shape (ICLR2021 oral)