Lr Gan.pytorchPytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
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Cyclegan TensorflowTensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
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Art DcganModified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
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keras-3dganKeras implementation of 3D Generative Adversarial Network.
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UnitUnsupervised Image-to-Image Translation
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Generative CompressionTensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
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TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (+42.86%)
Glcic PytorchA High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
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Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
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Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
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UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
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ADL2019Applied Deep Learning (2019 Spring) @ NTU
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Alphagan MattingThis project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
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SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
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OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
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MUST-GANPytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"
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Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
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RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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Electra中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
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ML-Papers-TLDRA summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.
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Began TensorflowTensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
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wc-ganWhitening and Coloring transform for GANs
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Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Stars: ✭ 122 (+248.57%)
Simgan CaptchaSolve captcha without manually labeling a training set
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Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (+242.86%)
ArtganArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
Stars: ✭ 210 (+500%)
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stars: ✭ 641 (+1731.43%)
O GanO-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
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Vae Gan TensorflowTensorflow code of "autoencoding beyond pixels using a learned similarity metric"
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IganInteractive Image Generation via Generative Adversarial Networks
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ImpersonatorPyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
Stars: ✭ 1,605 (+4485.71%)
MoveSimCodes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility
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Sketch To Art🖼 Create artwork from your casual sketch with GAN and style transfer
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Anonymize VideoReplace faces in a video with imaginary persons generated by a progressive GAN deep neural network
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PokeganCreats new kinds of pokemons using WGAN!
Stars: ✭ 112 (+220%)
Tf Exercise GanTensorflow implementation of different GANs and their comparisions
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Autogan[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
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What I Have ReadPaper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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ExposureLearning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
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Text To ImageGenerative Adversarial Text to Image Synthesis / Please Star -->
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DcganThe Simplest DCGAN Implementation
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Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Stars: ✭ 210 (+500%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (+8754.29%)
Pix2voxSketch-Based 3D Exploration with Stacked Generative Adversarial Networks
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SinganPytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"
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GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
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Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
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TpudcganTrain DCGAN with TPUs on Google Cloud
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Deepnude nowatermark withmodelDeepNude source code,without watermark,with demo and model download link,one command to run offline,GAN/Pytorch/pix2pix/pic2pic
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