862 Open source projects that are alternatives of or similar to Triple Gan

[CVPR2020] Adversarial Latent Autoencoders

Spectral Normalization for Keras Dense and Convolution Layers

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

A stable algorithm for GAN training

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Semantic Image Inpainting

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

SpecGAN - generate audio with adversarial training

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Projecting images to latent space with StyleGAN2.

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Collection of generative models in Pytorch version.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

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

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

DCGAN image generator 🖼️.

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

Adversarial Generation of Continuous Images [CVPR 2021]

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

A collection of arbitrary text to image papers with code (constantly updating)

Periodic Spatial Generative Adversarial Networks

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

A list of all named GANs!

Handwritten Chinese Characters Generation

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Awesome GAN for Medical Imaging

Pytorch implementation of pix2pix for various datasets.

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

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

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Focal Frequency Loss for Generative Models

Anime Generation

🎎 InfoGAN: Interpretable Representation Learning

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Page to PAGE Layout Analysis Tool

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Unsupervised anomaly detection with generative model, keras implementation

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Code for GAN2Shape (ICLR2021 oral)

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

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

A DCGAN to generate anime faces using custom mined dataset