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

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

My pytorch implementation for GAN

A stable algorithm for GAN training

Improving MMD-GAN training with repulsive loss function

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

Semantic Image Inpainting

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

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

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

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

TriangleGAN, ACM MM 2019.

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

Spectral Normalization for Keras Dense and Convolution Layers

Conditional GAN for Anime face generation.

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

[CVPR2020] Adversarial Latent Autoencoders

Pytorch implementation of CycleGAN.

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

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

Generative Adversarial Networks in PyTorch

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..

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

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

Anime Generation

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

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.

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

Stacked Generative Adversarial Networks

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

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

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

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

A basic and simple tool for code auto completion

Path Planning using Generative Adversarial Network (GAN)

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

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

🐳 GAN implemented as Tensorflow 2.X

Generate image from text with Generative Adversarial Network

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

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

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

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

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Pure tensorflow implementation of progressive growing of GANs

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

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

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

Torch Implemention of ECCV'16 paper: Attribute2Image

Tensorflow implementation of paper "unsupervised image to image translation networks"