564 Open source projects that are alternatives of or similar to skip-thought-gan

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

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

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

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

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

TextBox is an open-source library for building text generation system.

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

my own deep learning mastery roadmap

A sketch extractor for anime/illustration.

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..

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

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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

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

Text to image synthesis using thought vectors

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

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Pure tensorflow implementation of progressive growing of GANs

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

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

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

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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

Image-to-Image Translation in PyTorch

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

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

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Bringing Old Photo Back to Life (CVPR 2020 oral)

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

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

Toward Multimodal Image-to-Image Translation

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

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

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

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

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

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

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Generate Cartoon Images using Generative Adversarial Network

Pytorch implementation of Wasserstein GANs with Gradient Penalty

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

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

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

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

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

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

Website, documentation and examples for RiTa

TriangleGAN, ACM MM 2019.

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution