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SwapnetVirtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
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MM-CelebA-HQ-Dataset[CVPR 2021] A large-scale face image dataset that allows text-to-image generation, text-guided image manipulation, sketch-to-image generation, GANs for face generation and editing, image caption, and VQA
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Pix2voxSketch-Based 3D Exploration with Stacked Generative Adversarial Networks
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IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
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AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
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Sn GanpyTorch implementation of Spectral Normalization for Generative Adversarial Networks
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FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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scrabble-ganAdversarial Generation of Handwritten Text Images
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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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.
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text2paintingConvert text into beautiful artistic images
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SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
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Nlpgnn1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
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Warpgan(CVPR 2019 Oral) Style Transfer with Geometric Deformation
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catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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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.
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CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
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SinganPytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"
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Rnn.wganCode for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
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Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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IseebetteriSeeBetter: 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
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Mman( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing
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Photo2cartoon人像卡通化探索项目 (photo-to-cartoon translation project)
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The Gan WorldEverything about Generative Adversarial Networks
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GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
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Faceswap pytorchDeep fake ready to train on any 2 pair dataset with higher resolution
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PiqMeasures and metrics for image2image tasks. PyTorch.
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DraganA stable algorithm for GAN training
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Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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videoMultiGANEnd to End learning for Video Generation from Text
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