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StyleGANCppUnofficial implementation of StyleGAN's generator
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wp-interventionOn-demand image manipulation for WordPress via the Intervention Library.
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CHyVAECode for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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Dfc VaeVariational Autoencoder trained by Feature Perceputal Loss
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PaintsTensorFlowline drawing colorization using TensorFlow
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Sem PcycPyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
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ImagesSource code of images.weserv.nl, to be used on your own server(s).
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Nuxt Image Loader ModuleAn image loader module for nuxt.js that allows you to configure image style derivatives.
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Data Augmentation ReviewList of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
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CsiGANAn implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
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Cnn Paper2🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
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srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
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InstaganInstaGAN: Instance-aware Image Translation (ICLR 2019)
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Ylg[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".
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steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
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Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
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GazeanimationGive a portrait face, move the gaze up
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BinarifyConvert Images to Binary Art!
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imgxA module to compress and optimize images
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PsganPeriodic Spatial Generative Adversarial Networks
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PixelsorterPixel sorting tool for Python
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AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
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SingleganSingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning. ACCV 2018
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GansGenerative Adversarial Networks implemented in PyTorch and Tensorflow
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PaysageUnsupervised learning and generative models in python/pytorch.
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ACCV TinyGANBigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression
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Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
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ImageviewerHDR, PFM, DDS, KTX, EXR, PNG, JPG, BMP image viewer and manipulator
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Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
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django bgRemoverMLA Machine Learning Project integrated with Django to Remove Background from Image .
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VideoganGenerating Videos with Scene Dynamics. NIPS 2016.
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AdverseBiNetImproving Document Binarization via Adversarial Noise-Texture Augmentation
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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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Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
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Jspaint🎨 Classic MS Paint, REVIVED + ✨Extras
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Pytorch FidCompute FID scores with PyTorch.
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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.
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ObliqueWith Oblique explore new styles of displaying images
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Merge ImagesEasily compose images together without messing around with canvas
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All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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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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