960 Open source projects that are alternatives of or similar to Frontalization

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

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

Generative Adversarial Networks in Keras

🎎 InfoGAN: Interpretable Representation Learning

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

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

A PyTorch implementation for StyleGAN with full features.

Image-to-image translation with conditional adversarial nets

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

Semantic Image Inpainting

An AI for Music Generation

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

Unsupervised anomaly detection with generative model, keras implementation

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

SpecGAN - generate audio with adversarial training

Page to PAGE Layout Analysis Tool

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

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

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

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

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

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

The implementation of Relativistic average GAN with Keras

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Composable GAN framework with api and user interface

Focal Frequency Loss for Generative Models

An implementation of CycleGan using TensorFlow

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

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

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

Awesome GAN for Medical Imaging

A community run, 5-day PyTorch Deep Learning Bootcamp

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

Voice Conversion using Cycle GAN's For Non-Parallel Data

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Projecting images to latent space with StyleGAN2.

Compute FID scores with PyTorch.

A list of all named GANs!

Handwritten Chinese Characters Generation

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

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

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]