516 Open source projects that are alternatives of or similar to Sgan

Improving MMD-GAN training with repulsive loss function

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

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

My pytorch implementation for GAN

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

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

Generative Adversarial Networks in PyTorch

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

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

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

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

Spectral Normalization for Keras Dense and Convolution Layers

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Tensorflow-based framework to ease training of generative models

Pytorch implementation of CycleGAN.

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

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

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

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

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

[CVPR2020] Adversarial Latent Autoencoders

TriangleGAN, ACM MM 2019.

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

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

Anime Generation

Conditional GAN for Anime face generation.

Semantic Image Inpainting

A stable algorithm for GAN training

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

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

DGMs for NLP. A roadmap.

Code for GAN2Shape (ICLR2021 oral)

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

Learning kernels to maximize the power of MMD tests

Tensorflow implementation of generative adversarial imitation learning

Image-to-Image Translation in PyTorch

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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

Style transfer using deep convolutional neural nets

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

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Text to image synthesis using thought vectors

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Coherent Semantic Attention for image inpainting(ICCV 2019)

Generative adversarial training for generating synthetic tabular data.

DCGAN image generator 🖼️.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

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

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

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

A pytorch implementation of MINE(Mutual Information Neural Estimation)

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.

Auxiliary Classifier Generative Adversarial Networks in Keras

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN