519 Open source projects that are alternatives of or similar to celeba-gan-pytorch

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..

Tensorflow-based framework to ease training of generative models

A stable algorithm for GAN training

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

Improving MMD-GAN training with repulsive loss function

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

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

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

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.

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

TriangleGAN, ACM MM 2019.

Semantic Image Inpainting

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

Spectral Normalization for Keras Dense and Convolution Layers

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

Stacked Generative Adversarial Networks

[CVPR2020] Adversarial Latent Autoencoders

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

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

Anime Generation

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

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

My pytorch implementation for GAN

Pytorch implementation of CycleGAN.

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

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

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

Official implementation of Dynamical VAEs

Domain adaptation networks for digit recognitioning

Hierarchical fast and high-fidelity audio generation

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Unofficial implementation of StyleGAN's generator

GAN in Tensorflow to be run via Linux command line

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Keras implementation of 3D Generative Adversarial Network.

things I help(ed) to build

Generative Adversarial Network with Weight Normalization + ResNet

Showcasing various fun adventures with GANs

PixelVAE with or without regularization

Generate Cartoon Images using Generative Adversarial Network

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Applied Deep Learning (2019 Spring) @ NTU

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Colorization of grayscale images using CycleGAN in TensorFlow.

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation