690 Open source projects that are alternatives of or similar to IrwGAN

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

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

StyleGAN Encoder - converts real images to latent space

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

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)

A 1D toy example of optimizing a generative model using the WGAN-GP model.

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A clean and readable Pytorch implementation of CycleGAN

Auxiliary Classifier Generative Adversarial Networks in Keras

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Path Planning using Generative Adversarial Network (GAN)

Implementation of Conditional Generative Adversarial Networks in PyTorch

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

chainer implementation of pix2pix

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

Generative Adversarial Networks in TensorFlow 2.0

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Paper notes in deep learning/machine learning and computer vision

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

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

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

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

🤖A list of resources to help anyone getting started with GANs 🤖

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Masking GAN - Image attribute mask generation

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Learning kernels to maximize the power of MMD tests

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

in progress

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

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

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

No description or website provided.

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

Chainer implementation of recent GAN variants

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

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

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

Unbalanced Feature Transport for Exemplar-based Image Translation [CVPR 2021] and Marginal Contrastive Correspondence for Guided Image Generation [CVPR 2022]

A sketch extractor for anime/illustration.

Code for "A-NICE-MC: Adversarial Training for MCMC"

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.

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

my own deep learning mastery roadmap

Tensorflow implementation of ICLR2019 paper "Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency"

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

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

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Tensorflow re-implementation of GAN for text summarization

A web porting for NVlabs' StyleGAN.

Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

No description or website provided.

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