GrenadeDeep Learning in Haskell
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Delving Deep Into GansGenerative Adversarial Networks (GANs) resources sorted by citations
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PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (+184.21%)
Repo 2018Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
Stars: ✭ 163 (+328.95%)
Pedestrian Synthesis GanPedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
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Csmri RefinementCode for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
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cfg-ganCFG-GAN: Composite functional gradient learning of generative adversarial models
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Big SleepA simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
Stars: ✭ 396 (+942.11%)
Pose2poseThis is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
Stars: ✭ 182 (+378.95%)
Enlightengan[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Stars: ✭ 434 (+1042.11%)
TbganProject Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'
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Pytorch GansMy implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
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alphaGANA PyTorch implementation of alpha-GAN
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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Zi2ziLearning Chinese Character style with conditional GAN
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TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
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CycleganPyTorch implementation of CycleGAN
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stylegan-v[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
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GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
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Collaborative Gan Sampling[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
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SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
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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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Deblur GanKeras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
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gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
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Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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SamOfficial Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model"
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GansformerGenerative Adversarial Transformers
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GiqaPytorch implementation of Generated Image Quality Assessment
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3d Sdn[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
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chiA high-level framework for advanced deep learning with TensorFlow
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transganformerImplementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper
Stars: ✭ 137 (+260.53%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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fusion ganCodes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17
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Gan MriCode repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
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Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
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generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
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Genre ShapehdCode and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
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edge2viewThis is a pix2pix demo that learns from edge and translates this into view. A interactive application is also provided that translates edge to view.
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GenevaCode to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
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Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Keras GanKeras implementations of Generative Adversarial Networks.
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GDPPGenerator loss to reduce mode-collapse and to improve the generated samples quality.
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cDCGANPyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
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Keras SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
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SteganoganSteganoGAN is a tool for creating steganographic images using adversarial training.
Stars: ✭ 124 (+226.32%)