494 Open source projects that are alternatives of or similar to EigenGAN-Tensorflow

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

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

StarNet

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

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Image-to-Image Translation in PyTorch

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

A very simple generative adversarial network (GAN) in PyTorch

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Synthetic Data Generation for tabular, relational and time series data.

Generate Cartoon Images using Generative Adversarial Network

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

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

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

simple Generative Adversarial Networks base on matlab

Slimmable Generative Adversarial Networks (AAAI 2021)

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

Face generator from sketches using cGAN (pix2pix) model

Generate text boxes from input words with a GAN.

line drawing colorization using TensorFlow

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

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

Unofficial implementation of StyleGAN's generator

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

Invert the color of MNIST images with PyTorch

A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Spectral Normalization and Projection Discriminator

Using cGANs to remove objects from a photo

GAN in Tensorflow to be run via Linux command line

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Introduction to Generative Adversarial Networks

Whitening and Coloring transform for GANs

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

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

Chainer implementation of the Wesserstein GAN

implemented some computer vision problems

No description or website provided.

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.