398 Open source projects that are alternatives of or similar to Gazeanimation

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

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

Bringing Old Photo Back to Life (CVPR 2020 oral)

Reproduction code for WGAN-LP

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

Generative Adversarial Networks in Keras

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

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Generating Videos with Scene Dynamics. NIPS 2016.

The codes of VAE-GAN model for 3d shape reconstruction from depth data

Tensorflow implementation for Paper "Learning Residual Images for Face Attribute Manipulation"

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

An implementation of CycleGan using TensorFlow

Training a MNIST classifier, and use it to compute inception score (ICP)

Image-to-image translation with conditional adversarial nets

An AI for Music Generation

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

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

Conditional GAN for Anime face generation.

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

Official repository of JSI-GAN (Accepted at AAAI 2020).

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

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

Conversational AI Reading Materials

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

InstaGAN: Instance-aware Image Translation (ICLR 2019)

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

C++ Implementation of PyTorch Tutorials for Everyone

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

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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

This toolbox is support material for the book on CNN (http://www.convolution.network).

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

A large-scale face dataset for face parsing, recognition, generation and editing.

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.

The implementation of Relativistic average GAN with Keras

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

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

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

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

Compute FID scores with PyTorch.

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Composable GAN framework with api and user interface

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