662 Open source projects that are alternatives of or similar to Artgan

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Periodic Spatial Generative Adversarial Networks

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

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

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

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

Paper notes in deep learning/machine learning and computer vision

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

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

No description or website provided.

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

Spectral Normalization and Projection Discriminator

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Learning kernels to maximize the power of MMD tests

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

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

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

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

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

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

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

Masking GAN - Image attribute mask generation

Bringing Old Photo Back to Life (CVPR 2020 oral)

implemented some computer vision problems

No description or website provided.

C++ Implementation of PyTorch Tutorials for Everyone

Deep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces

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

End to End learning for Video Generation from Text

Simple Implementation of many GAN models with PyTorch.

a tensorflow implementation of WGAN

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

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

Resources on Music Generation with Deep Learning

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

A curated list of dedicated resources and applications

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

A pure PHP library for reading and writing project management files

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

A collection of deep learning tutorials using Tensorflow and Python

GANs Implementations in Keras

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Summaries of machine learning papers

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

StoryGAN: A Sequential Conditional GAN for Story Visualization

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Continious Generative Adversarial Network

A Survey on Text-to-Image Generation/Synthesis.