408 Open source projects that are alternatives of or similar to csgan

Tensorflow-based framework to ease training of generative models

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

An un-trained neural network with a potential application in accelerated MRI

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

Path Planning using Generative Adversarial Network (GAN)

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Synthetic Data Generation for mixed-type, multivariate time series.

No description or website provided.

Two-stage GANs that generate fingerstyle guitarist images from audio.

Benchmarking synthetic data generation methods.

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

A Deep Learning Approach to Ultrasound Image Recovery

Unofficial pytorch implementation of algorithms for domain adaptation

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

3D-aware GANs based on NeRF (arXiv).

CycleGAN based neural network architecture to change the gender of a person’s face

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

PyTorch study

my own deep learning mastery roadmap

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Code for Learned Turbo-ype Affine Rank Minimization

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Listing my favorite research papers 📝 from different fields as I read them.

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Tensorflow Implementation of DiscoGAN

This repository contains a new adversarial training method for Generative Conversational Agents

My pytorch implementation for GAN

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

StyleGAN Encoder - converts real images to latent space

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Pytorch implementation of CycleGAN.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

🐳 GAN implemented as Tensorflow 2.X

🤖A list of resources to help anyone getting started with GANs 🤖

Pure tensorflow implementation of progressive growing of GANs

cRNN-GAN to generate music by training on instrumental music (midi)

Tensorflow implementation of paper "unsupervised image to image translation networks"

No description or website provided.

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Designed to take you from zero experience to GANs within a week.