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

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 DiscoGAN

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

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

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

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

Path Planning using Generative Adversarial Network (GAN)

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

3D-aware GANs based on NeRF (arXiv).

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

No description or website provided.

T2F: text to face generation using Deep Learning

Repository for MAD-GAN Paper done in ML CAMP Jeju

SpecGAN - generate audio with adversarial training

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

videos, lectures, blogs for Deep Learning

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

chainer implementation of pix2pix

Paper notes in deep learning/machine learning and computer vision

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Discovering Interpretable GAN Controls [NeurIPS 2020]

No description or website provided.

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

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

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.

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

Solve captcha without manually labeling a training set

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

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

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

Interactive Image Generation via Generative Adversarial Networks

Assessing Generative Models via Precision and Recall (official repository)

Awesome GAN for Medical Imaging

The implementation of StyleGAN on PyTorch 1.0.1

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

Tensorflow implementation of generative adversarial imitation learning

DCGAN image generator 🖼️.

Pytorch deep learning face frontalization model

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

A web porting for NVlabs' StyleGAN.

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

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].