Gan2shapeCode for GAN2Shape (ICLR2021 oral)
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DefenseganDefense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
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Gan Weight NormCode for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
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Opt MmdLearning kernels to maximize the power of MMD tests
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Gail TfTensorflow implementation of generative adversarial imitation learning
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FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
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Text To ImageText to image synthesis using thought vectors
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TganGenerative adversarial training for generating synthetic tabular data.
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Edge ConnectEdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
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GannotationGANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
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Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
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Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflowImplementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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Mmd GanMMD-GAN: Towards Deeper Understanding of Moment Matching Network
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Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
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FrontalizationPytorch deep learning face frontalization model
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Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Zoom Learn Zoomcomputational zoom from raw sensor data
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Msrn PytorchThis repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
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Pytorch LapsrnPytorch implementation for LapSRN (CVPR2017)
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IgnnCode repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
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Highres NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
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Deep Iterative CollaborationPytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
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PsfrganPyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
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Anime4kA High-Quality Real Time Upscaler for Anime Video
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WaveletsrnetA pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
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MzsrMeta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
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Pytorch ZssrPyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
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GpufitGPU-accelerated Levenberg-Marquardt curve fitting in CUDA
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DpirPlug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)
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Waifu2xPyTorch on Super Resolution
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TenetOfficial Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
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GraphiteOpen source 2D node-based raster/vector graphics editor (Photoshop + Illustrator + Houdini = Graphite)
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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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StoryganStoryGAN: A Sequential Conditional GAN for Story Visualization
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DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
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Xinggan[ECCV 2020] XingGAN for Person Image Generation
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PixelcnnTheano reimplementation of pixelCNN architecture
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TileganCode for TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures (SIGGRAPH 2019)
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Scene generationA PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation
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Video Object RemovalJust draw a bounding box and you can remove the object you want to remove.
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