516 Open source projects that are alternatives of or similar to Conditional Gan

TriangleGAN, ACM MM 2019.

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

Conditional GAN for Anime face generation.

My pytorch implementation for GAN

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

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

Pytorch implementation of CycleGAN.

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

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..

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

A list of all named GANs!

This repository contains the source code for the paper First Order Motion Model for Image Animation

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

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

Handwritten Chinese Characters Generation

Code for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Tensorflow re-implementation of GAN for text summarization

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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

A web porting for NVlabs' StyleGAN.

GANs for time series generation in pytorch

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Unsupervised learning and generative models in python/pytorch.

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

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Periodic Spatial Generative Adversarial Networks

Projecting images to latent space with StyleGAN2.

Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020

A Pytorch implementation of Stylegan2 with UNet Discriminator

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

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

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

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

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

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)