544 Open source projects that are alternatives of or similar to Data Efficient Gans

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

A sketch extractor for anime/illustration.

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

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

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

Image-to-Image Translation in PyTorch

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

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

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Generative Adversarial Transformers

Focal Frequency Loss for Generative Models

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

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

OpenMMLab Image and Video Editing Toolbox

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

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

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

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

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

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

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

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

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

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

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

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

Generate Cartoon Images using Generative Adversarial Network

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

A collection of arbitrary text to image papers with code (constantly updating)

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

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

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

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

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

A clean and readable Pytorch implementation of CycleGAN

TriangleGAN, ACM MM 2019.

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

my own deep learning mastery roadmap

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

Invert the color of MNIST images with PyTorch

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

Applied Deep Learning (2019 Spring) @ NTU

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Toward Multimodal Image-to-Image Translation

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

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

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper