[
  {
    "Class IOU": 0.32,
    "Per-class Accuracy": 40,
    "Per-pixel Accuracy": 85,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/gan"
      },
      {
        "title": "junyanz/pytorch-CycleGAN-and-pix2pix",
        "url": "https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix"
      },
      {
        "title": "soumith/ganhacks",
        "url": "https://github.com/soumith/ganhacks"
      },
      {
        "title": "phillipi/pix2pix",
        "url": "https://github.com/phillipi/pix2pix"
      },
      {
        "title": "eriklindernoren/Keras-GAN",
        "url": "https://github.com/eriklindernoren/Keras-GAN"
      },
      {
        "title": "eriklindernoren/PyTorch-GAN",
        "url": "https://github.com/eriklindernoren/PyTorch-GAN"
      },
      {
        "title": "tensorpack/tensorpack",
        "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN"
      },
      {
        "title": "affinelayer/Pix2Pix-tensorflow",
        "url": "https://github.com/affinelayer/Pix2Pix-tensorflow"
      },
      {
        "title": "yenchenlin/pix2pix-tensorflow",
        "url": "https://github.com/yenchenlin/pix2pix-tensorflow"
      },
      {
        "title": "brade31919/SRGAN-tensorflow",
        "url": "https://github.com/brade31919/SRGAN-tensorflow"
      },
      {
        "title": "Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement",
        "url": "https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement"
      },
      {
        "title": "andrewowens/multisensory",
        "url": "https://github.com/andrewowens/multisensory"
      },
      {
        "title": "ImagingLab/Colorizing-with-GANs",
        "url": "https://github.com/ImagingLab/Colorizing-with-GANs"
      },
      {
        "title": "awjuliani/Pix2Pix-Film",
        "url": "https://github.com/awjuliani/Pix2Pix-Film"
      },
      {
        "title": "opendot/ml4a-invisible-cities",
        "url": "https://github.com/opendot/ml4a-invisible-cities"
      },
      {
        "title": "unicredit/ganzo",
        "url": "https://github.com/unicredit/ganzo"
      },
      {
        "title": "Vious/LBAM_Pytorch",
        "url": "https://github.com/Vious/LBAM_Pytorch"
      },
      {
        "title": "Adi-iitd/AI-Art",
        "url": "https://github.com/Adi-iitd/AI-Art"
      },
      {
        "title": "znxlwm/pytorch-pix2pix",
        "url": "https://github.com/znxlwm/pytorch-pix2pix"
      },
      {
        "title": "CreativeCodingLab/DeepIllumination",
        "url": "https://github.com/CreativeCodingLab/DeepIllumination"
      },
      {
        "title": "Montia/bw2color",
        "url": "https://github.com/Montia/bw2color"
      },
      {
        "title": "prakashpandey9/BicycleGAN",
        "url": "https://github.com/prakashpandey9/BicycleGAN"
      },
      {
        "title": "acecreamu/angularGAN",
        "url": "https://github.com/acecreamu/angularGAN"
      },
      {
        "title": "soumik12345/Pix2Pix",
        "url": "https://github.com/soumik12345/Pix2Pix"
      },
      {
        "title": "DLHacks/pix2pix_PAN",
        "url": "https://github.com/DLHacks/pix2pix_PAN"
      },
      {
        "title": "jackaduma/CycleGAN-VC2",
        "url": "https://github.com/jackaduma/CycleGAN-VC2"
      },
      {
        "title": "yd8534976/conGAN",
        "url": "https://github.com/yd8534976/conGAN"
      },
      {
        "title": "a-martyn/unet",
        "url": "https://github.com/a-martyn/unet"
      },
      {
        "title": "Lornatang/PyTorch-CycleGAN",
        "url": "https://github.com/Lornatang/PyTorch-CycleGAN"
      },
      {
        "title": "OFRIN/Tensorflow_Pixel2Pixel",
        "url": "https://github.com/OFRIN/Tensorflow_Pixel2Pixel"
      },
      {
        "title": "sdnr1/c-gan_pix2pix",
        "url": "https://github.com/sdnr1/c-gan_pix2pix"
      },
      {
        "title": "theburgman21/Pix2Pix-Deblurrer",
        "url": "https://github.com/theburgman21/Pix2Pix-Deblurrer"
      },
      {
        "title": "philip-brohan/weather2weather",
        "url": "https://github.com/philip-brohan/weather2weather"
      },
      {
        "title": "AlliBalliBaba/PixFace-Neural-Network",
        "url": "https://github.com/AlliBalliBaba/PixFace-Neural-Network"
      },
      {
        "title": "SeonbeomKim/TensorFlow-pix2pix",
        "url": "https://github.com/SeonbeomKim/TensorFlow-pix2pix"
      },
      {
        "title": "Paul92/cp_2020",
        "url": "https://github.com/Paul92/cp_2020"
      },
      {
        "title": "r06922019/butt_lion_paper_notes",
        "url": "https://github.com/r06922019/butt_lion_paper_notes"
      },
      {
        "title": "AlliBalliBaba/PixFace",
        "url": "https://github.com/AlliBalliBaba/PixFace"
      },
      {
        "title": "bionanoimaging/cellSTORM-Tensorflow",
        "url": "https://github.com/bionanoimaging/cellSTORM-Tensorflow"
      },
      {
        "title": "cianfrocco-lab/GAN-for-Cryo-EM-image-denoising",
        "url": "https://github.com/cianfrocco-lab/GAN-for-Cryo-EM-image-denoising"
      },
      {
        "title": "tbullmann/imagetranslation-tensorflow",
        "url": "https://github.com/tbullmann/imagetranslation-tensorflow"
      },
      {
        "title": "XJhaoren/Academic-Group",
        "url": "https://github.com/XJhaoren/Academic-Group"
      },
      {
        "title": "fdasilva59/Pix2Pix-Kubeflow-Demo",
        "url": "https://github.com/fdasilva59/Pix2Pix-Kubeflow-Demo"
      },
      {
        "title": "linxi159/Tips-and-tricks-to-train-GANs",
        "url": "https://github.com/linxi159/Tips-and-tricks-to-train-GANs"
      },
      {
        "title": "jaingaurav3/GAN-Hacks",
        "url": "https://github.com/jaingaurav3/GAN-Hacks"
      },
      {
        "title": "RAGHAV2998/Everybody-Can-Dance-Now-Video-game-version-",
        "url": "https://github.com/RAGHAV2998/Everybody-Can-Dance-Now-Video-game-version-"
      },
      {
        "title": "xingchenzhao/deep-learning-team-project",
        "url": "https://github.com/xingchenzhao/deep-learning-team-project"
      },
      {
        "title": "AbhinavTalari/Night2Day",
        "url": "https://github.com/AbhinavTalari/Night2Day"
      },
      {
        "title": "miguel-rodrigo/dot-csv-pix2pix",
        "url": "https://github.com/miguel-rodrigo/dot-csv-pix2pix"
      },
      {
        "title": "ManoaNosea/SRGAN",
        "url": "https://github.com/ManoaNosea/SRGAN"
      },
      {
        "title": "nishantcoder97/cgandemo",
        "url": "https://github.com/nishantcoder97/cgandemo"
      },
      {
        "title": "tiwarikajal/SketchIT--Conversion-of-Images-to-Sketches-using-Conditional-GAN",
        "url": "https://github.com/tiwarikajal/SketchIT--Conversion-of-Images-to-Sketches-using-Conditional-GAN"
      },
      {
        "title": "leemathew1998/RG",
        "url": "https://github.com/leemathew1998/RG"
      },
      {
        "title": "zuobinxiong/pix2pix-tensorflow",
        "url": "https://github.com/zuobinxiong/pix2pix-tensorflow"
      },
      {
        "title": "taivu1998/GANime",
        "url": "https://github.com/taivu1998/GANime"
      },
      {
        "title": "telecombcn-dl/2018-dlcv-team2",
        "url": "https://github.com/telecombcn-dl/2018-dlcv-team2"
      },
      {
        "title": "haotingzhang97/CondNF",
        "url": "https://github.com/haotingzhang97/CondNF"
      },
      {
        "title": "yoyotv/Image-derain-via-CGAN",
        "url": "https://github.com/yoyotv/Image-derain-via-CGAN"
      },
      {
        "title": "mandalarotation/PixdosepiX-OpenKBP---2020-AAPM-Grand-Challenge-",
        "url": "https://github.com/mandalarotation/PixdosepiX-OpenKBP---2020-AAPM-Grand-Challenge-"
      },
      {
        "title": "linxi159/GAN-training-tricks",
        "url": "https://github.com/linxi159/GAN-training-tricks"
      },
      {
        "title": "darth-c0d3r/pix2pix",
        "url": "https://github.com/darth-c0d3r/pix2pix"
      },
      {
        "title": "bxck75/piss-ant-pix2pix",
        "url": "https://github.com/bxck75/piss-ant-pix2pix"
      },
      {
        "title": "GH3927/Pix2Pix-applied-to-cranes",
        "url": "https://github.com/GH3927/Pix2Pix-applied-to-cranes"
      },
      {
        "title": "Yodai1996/CV",
        "url": "https://github.com/Yodai1996/CV"
      },
      {
        "title": "shikhadahiya/Image-to-image-translation-using-C-GAN",
        "url": "https://github.com/shikhadahiya/Image-to-image-translation-using-C-GAN"
      },
      {
        "title": "AZHARTHEGEEK/GAN_s",
        "url": "https://github.com/AZHARTHEGEEK/GAN_s"
      },
      {
        "title": "itsuki8914/pix2pix-automaticColorization",
        "url": "https://github.com/itsuki8914/pix2pix-automaticColorization"
      },
      {
        "title": "vamsi3/pix2pix",
        "url": "https://github.com/vamsi3/pix2pix"
      },
      {
        "title": "egrigokhan/neural-enhancer",
        "url": "https://github.com/egrigokhan/neural-enhancer"
      },
      {
        "title": "surajkarki66/Generative-Model-Deep-Learning",
        "url": "https://github.com/surajkarki66/Generative-Model-Deep-Learning"
      },
      {
        "title": "leemathew1998/GradientWeight",
        "url": "https://github.com/leemathew1998/GradientWeight"
      },
      {
        "title": "tbullmann/imagesegmentation-tensorflow",
        "url": "https://github.com/tbullmann/imagesegmentation-tensorflow"
      },
      {
        "title": "hariv/pix2pix",
        "url": "https://github.com/hariv/pix2pix"
      },
      {
        "title": "amitaydr/Hackaton2018",
        "url": "https://github.com/amitaydr/Hackaton2018"
      },
      {
        "title": "sigtot/unet-auto",
        "url": "https://github.com/sigtot/unet-auto"
      },
      {
        "title": "vaibhavjindal/pix2pix-pytorch",
        "url": "https://github.com/vaibhavjindal/pix2pix-pytorch"
      },
      {
        "title": "enstan/pix2pix_h5-",
        "url": "https://github.com/enstan/pix2pix_h5-"
      },
      {
        "title": "abods/generative_painting",
        "url": "https://github.com/abods/generative_painting"
      },
      {
        "title": "JobQiu/hackrice",
        "url": "https://github.com/JobQiu/hackrice"
      },
      {
        "title": "chez8990/Image2ImageTranslation",
        "url": "https://github.com/chez8990/Image2ImageTranslation"
      },
      {
        "title": "random-quark/pix2pix-tensorflow",
        "url": "https://github.com/random-quark/pix2pix-tensorflow"
      },
      {
        "title": "mgrcar/pix2pix",
        "url": "https://github.com/mgrcar/pix2pix"
      },
      {
        "title": "kingcheng2000/GAN",
        "url": "https://github.com/kingcheng2000/GAN"
      },
      {
        "title": "NeuralVFX/pix2pix",
        "url": "https://github.com/NeuralVFX/pix2pix"
      },
      {
        "title": "sidneykingsley/pix2pix-tensorflow",
        "url": "https://github.com/sidneykingsley/pix2pix-tensorflow"
      },
      {
        "title": "utunga/pix2pix-tensorflow",
        "url": "https://github.com/utunga/pix2pix-tensorflow"
      },
      {
        "title": "Rust401/pixel2piexl",
        "url": "https://github.com/Rust401/pixel2piexl"
      },
      {
        "title": "saviaga/faceswap",
        "url": "https://github.com/saviaga/faceswap"
      },
      {
        "title": "BrookInternSOMA/pix2pix-barcode",
        "url": "https://github.com/BrookInternSOMA/pix2pix-barcode"
      },
      {
        "title": "awesomephant/vf-installation",
        "url": "https://github.com/awesomephant/vf-installation"
      },
      {
        "title": "svikramank/pix2pix",
        "url": "https://github.com/svikramank/pix2pix"
      },
      {
        "title": "misogil0116/Biscotti_misc",
        "url": "https://github.com/misogil0116/Biscotti_misc"
      },
      {
        "title": "MarvinLavechin/imagetranslation-tensorflow",
        "url": "https://github.com/MarvinLavechin/imagetranslation-tensorflow"
      },
      {
        "title": "gerardoglz/GANs",
        "url": "https://github.com/gerardoglz/GANs"
      },
      {
        "title": "lyj0823/GANs",
        "url": "https://github.com/lyj0823/GANs"
      },
      {
        "title": "gcwl/pytorch-pix2pix",
        "url": "https://github.com/gcwl/pytorch-pix2pix"
      },
      {
        "title": "json9512/sonarToimage",
        "url": "https://github.com/json9512/sonarToimage"
      },
      {
        "title": "sidneykingsley/fyp",
        "url": "https://github.com/sidneykingsley/fyp"
      },
      {
        "title": "BH94/cGANs-tensorflow-Python",
        "url": "https://github.com/BH94/cGANs-tensorflow-Python"
      },
      {
        "title": "PDEUXA/AIF_CYCLEGAN",
        "url": "https://github.com/PDEUXA/AIF_CYCLEGAN"
      },
      {
        "title": "sidneykingsley/fyp-trainer",
        "url": "https://github.com/sidneykingsley/fyp-trainer"
      }
    ],
    "date": "2016-11-21",
    "date2": 20161121,
    "model": "pix2pix",
    "paper": {
      "title": "Image-to-Image Translation with Conditional Adversarial Networks",
      "url": "https://cknow.io/lib/4440a570dc7e2914"
    },
    "paper_data_uoa": "4440a570dc7e2914"
  },
  {
    "Class IOU": 0.16,
    "Per-class Accuracy": 22,
    "Per-pixel Accuracy": 58,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/gan"
      },
      {
        "title": "junyanz/pytorch-CycleGAN-and-pix2pix",
        "url": "https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix"
      },
      {
        "title": "junyanz/CycleGAN",
        "url": "https://github.com/junyanz/CycleGAN"
      },
      {
        "title": "eriklindernoren/Keras-GAN",
        "url": "https://github.com/eriklindernoren/Keras-GAN"
      },
      {
        "title": "eriklindernoren/PyTorch-GAN",
        "url": "https://github.com/eriklindernoren/PyTorch-GAN"
      },
      {
        "title": "tensorpack/tensorpack",
        "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/GAN"
      },
      {
        "title": "vanhuyz/CycleGAN-TensorFlow",
        "url": "https://github.com/vanhuyz/CycleGAN-TensorFlow"
      },
      {
        "title": "xhujoy/CycleGAN-tensorflow",
        "url": "https://github.com/xhujoy/CycleGAN-tensorflow"
      },
      {
        "title": "aitorzip/PyTorch-CycleGAN",
        "url": "https://github.com/aitorzip/PyTorch-CycleGAN"
      },
      {
        "title": "LynnHo/CycleGAN-Tensorflow-PyTorch-Simple",
        "url": "https://github.com/LynnHo/CycleGAN-Tensorflow-PyTorch-Simple"
      },
      {
        "title": "hujinsen/pytorch-StarGAN-VC",
        "url": "https://github.com/hujinsen/pytorch-StarGAN-VC"
      },
      {
        "title": "xw-hu/Mask-ShadowGAN",
        "url": "https://github.com/xw-hu/Mask-ShadowGAN"
      },
      {
        "title": "Adi-iitd/AI-Art",
        "url": "https://github.com/Adi-iitd/AI-Art"
      },
      {
        "title": "arnab39/cycleGAN-PyTorch",
        "url": "https://github.com/arnab39/cycleGAN-PyTorch"
      },
      {
        "title": "Eyyub/tensorflow-cyclegan",
        "url": "https://github.com/Eyyub/tensorflow-cyclegan"
      },
      {
        "title": "ranery/Bayesian-CycleGAN",
        "url": "https://github.com/ranery/Bayesian-CycleGAN"
      },
      {
        "title": "Wenchao-Du/LIR-for-Unsupervised-IR",
        "url": "https://github.com/Wenchao-Du/LIR-for-Unsupervised-IR"
      },
      {
        "title": "racinmat/anime-style-transfer",
        "url": "https://github.com/racinmat/anime-style-transfer"
      },
      {
        "title": "jackaduma/CycleGAN-VC2",
        "url": "https://github.com/jackaduma/CycleGAN-VC2"
      },
      {
        "title": "Psyche-mia/Avatar-GAN",
        "url": "https://github.com/Psyche-mia/Avatar-GAN"
      },
      {
        "title": "RanBezen/cycleGan_handwriting",
        "url": "https://github.com/RanBezen/cycleGan_handwriting"
      },
      {
        "title": "jason9693/cycleGAN-tensorflow-v2",
        "url": "https://github.com/jason9693/cycleGAN-tensorflow-v2"
      },
      {
        "title": "ZC119/Handwritten-CycleGAN",
        "url": "https://github.com/ZC119/Handwritten-CycleGAN"
      },
      {
        "title": "NathanDeMaria/AugmentedCycleGAN",
        "url": "https://github.com/NathanDeMaria/AugmentedCycleGAN"
      },
      {
        "title": "Shumway82/CycleGAN",
        "url": "https://github.com/Shumway82/CycleGAN"
      },
      {
        "title": "Lornatang/PyTorch-CycleGAN",
        "url": "https://github.com/Lornatang/PyTorch-CycleGAN"
      },
      {
        "title": "daintlab/ct-denoising",
        "url": "https://github.com/daintlab/ct-denoising"
      },
      {
        "title": "tbullmann/imagetranslation-tensorflow",
        "url": "https://github.com/tbullmann/imagetranslation-tensorflow"
      },
      {
        "title": "CarpdiemLiang/style_transfer",
        "url": "https://github.com/CarpdiemLiang/style_transfer"
      },
      {
        "title": "carnotaur/CycleGAN",
        "url": "https://github.com/carnotaur/CycleGAN"
      },
      {
        "title": "ZhangGongjie/CycleGAN-Pytorch",
        "url": "https://github.com/ZhangGongjie/CycleGAN-Pytorch"
      },
      {
        "title": "NeuralVFX/lighting-swap-cyclegan",
        "url": "https://github.com/NeuralVFX/lighting-swap-cyclegan"
      },
      {
        "title": "YouYueHuang/CycleGAN_Unsupervised_Domain_Adaptation",
        "url": "https://github.com/YouYueHuang/CycleGAN_Unsupervised_Domain_Adaptation"
      },
      {
        "title": "itsuki8914/CycleGAN-TF",
        "url": "https://github.com/itsuki8914/CycleGAN-TF"
      },
      {
        "title": "AbhinavTalari/Night2Day",
        "url": "https://github.com/AbhinavTalari/Night2Day"
      },
      {
        "title": "matteodalessio/CycleGAN-android",
        "url": "https://github.com/matteodalessio/CycleGAN-android"
      },
      {
        "title": "honzaMaly/cyclegan-style-transfer",
        "url": "https://github.com/honzaMaly/cyclegan-style-transfer"
      },
      {
        "title": "onedayatatime0923/Cycle_Mcd_Gan",
        "url": "https://github.com/onedayatatime0923/Cycle_Mcd_Gan"
      },
      {
        "title": "QXL4515/CAGFuzz",
        "url": "https://github.com/QXL4515/CAGFuzz"
      },
      {
        "title": "nahliabdelwahed/Face-Image-Deblurring",
        "url": "https://github.com/nahliabdelwahed/Face-Image-Deblurring"
      },
      {
        "title": "JohanZYe/CycleGAN-Pokemon",
        "url": "https://github.com/JohanZYe/CycleGAN-Pokemon"
      },
      {
        "title": "AverageName/UI2IT",
        "url": "https://github.com/AverageName/UI2IT"
      },
      {
        "title": "HoSyTuyen/CycleGAN-tf2.0-implementaion",
        "url": "https://github.com/HoSyTuyen/CycleGAN-tf2.0-implementaion"
      },
      {
        "title": "taivu1998/GANime",
        "url": "https://github.com/taivu1998/GANime"
      },
      {
        "title": "mronta/CycleGAN-in-Keras",
        "url": "https://github.com/mronta/CycleGAN-in-Keras"
      },
      {
        "title": "cvfx-2019/homework1-color-transfer",
        "url": "https://github.com/cvfx-2019/homework1-color-transfer"
      },
      {
        "title": "justusschock/delira_cycle_gan_pytorch",
        "url": "https://github.com/justusschock/delira_cycle_gan_pytorch"
      },
      {
        "title": "gunpowder1473/CycyleGan_Tensorflow",
        "url": "https://github.com/gunpowder1473/CycyleGan_Tensorflow"
      },
      {
        "title": "RRoundTable/OceanLitter_dataset_generator",
        "url": "https://github.com/RRoundTable/OceanLitter_dataset_generator"
      },
      {
        "title": "Yougunhee/cycleGAN",
        "url": "https://github.com/Yougunhee/cycleGAN"
      },
      {
        "title": "Atharva-Phatak/Season-Transfer",
        "url": "https://github.com/Atharva-Phatak/Season-Transfer"
      },
      {
        "title": "danieldritter/deep_learning_models",
        "url": "https://github.com/danieldritter/deep_learning_models"
      },
      {
        "title": "danieldritter/RL_Implementations",
        "url": "https://github.com/danieldritter/RL_Implementations"
      },
      {
        "title": "pcummer/cycle-gan-keras",
        "url": "https://github.com/pcummer/cycle-gan-keras"
      },
      {
        "title": "AverageName/Cycle_gan_pytorch",
        "url": "https://github.com/AverageName/Cycle_gan_pytorch"
      },
      {
        "title": "wonbeomjang/cyclegan-pytorch",
        "url": "https://github.com/wonbeomjang/cyclegan-pytorch"
      },
      {
        "title": "jtiger958/cyclegan-pytorch",
        "url": "https://github.com/jtiger958/cyclegan-pytorch"
      },
      {
        "title": "gcwl/pytorch-cyclegan",
        "url": "https://github.com/gcwl/pytorch-cyclegan"
      },
      {
        "title": "lyonling/pix2pix",
        "url": "https://github.com/lyonling/pix2pix"
      },
      {
        "title": "karl-hajjar/Generative-Adversarial-Networks",
        "url": "https://github.com/karl-hajjar/Generative-Adversarial-Networks"
      },
      {
        "title": "snjstudent/CycleGAN.tensorflow.keras",
        "url": "https://github.com/snjstudent/CycleGAN.tensorflow.keras"
      },
      {
        "title": "eugene08976/hw1",
        "url": "https://github.com/eugene08976/hw1"
      },
      {
        "title": "GH3927/CycleGAN_linemod_duck",
        "url": "https://github.com/GH3927/CycleGAN_linemod_duck"
      },
      {
        "title": "bocharm/cycle_gan",
        "url": "https://github.com/bocharm/cycle_gan"
      },
      {
        "title": "GH3927/CycleGAN-applied-to-cranes",
        "url": "https://github.com/GH3927/CycleGAN-applied-to-cranes"
      },
      {
        "title": "MarvinLavechin/imagetranslation-tensorflow",
        "url": "https://github.com/MarvinLavechin/imagetranslation-tensorflow"
      },
      {
        "title": "sweet-rytsar/cvfve_hw1",
        "url": "https://github.com/sweet-rytsar/cvfve_hw1"
      },
      {
        "title": "HazemLahoual/Project-Machine-Learning",
        "url": "https://github.com/HazemLahoual/Project-Machine-Learning"
      },
      {
        "title": "ahmedbesbes/cycle-gan",
        "url": "https://github.com/ahmedbesbes/cycle-gan"
      },
      {
        "title": "bareeka/ganproject",
        "url": "https://github.com/bareeka/ganproject"
      },
      {
        "title": "jlim13/simple_cycleGAN_pytorch",
        "url": "https://github.com/jlim13/simple_cycleGAN_pytorch"
      },
      {
        "title": "T-C-J/GAN",
        "url": "https://github.com/T-C-J/GAN"
      },
      {
        "title": "fuenwang/CVFX-hw1",
        "url": "https://github.com/fuenwang/CVFX-hw1"
      },
      {
        "title": "CoryRJ/cycleGAN",
        "url": "https://github.com/CoryRJ/cycleGAN"
      },
      {
        "title": "cvp19g2/cvp19g2",
        "url": "https://github.com/cvp19g2/cvp19g2"
      },
      {
        "title": "GiuliaLanzillotta/exercises",
        "url": "https://github.com/GiuliaLanzillotta/exercises"
      },
      {
        "title": "Qi-Xian/color-transfer_HW1",
        "url": "https://github.com/Qi-Xian/color-transfer_HW1"
      },
      {
        "title": "SeonghoBaek/CycleGAN",
        "url": "https://github.com/SeonghoBaek/CycleGAN"
      },
      {
        "title": "tollymune/CycleGAN-PyTorch",
        "url": "https://github.com/tollymune/CycleGAN-PyTorch"
      },
      {
        "title": "FiveEyes/CycleGAN",
        "url": "https://github.com/FiveEyes/CycleGAN"
      },
      {
        "title": "PDEUXA/AIF_CYCLEGAN",
        "url": "https://github.com/PDEUXA/AIF_CYCLEGAN"
      },
      {
        "title": "AlphaKong/CycleGAN",
        "url": "https://github.com/AlphaKong/CycleGAN"
      },
      {
        "title": "JL321/CycleGAN",
        "url": "https://github.com/JL321/CycleGAN"
      },
      {
        "title": "arnavdodiedo/dog2sketch",
        "url": "https://github.com/arnavdodiedo/dog2sketch"
      },
      {
        "title": "TJJTJJTJJ/pytorch_cycleGAN",
        "url": "https://github.com/TJJTJJTJJ/pytorch_cycleGAN"
      },
      {
        "title": "SimeonKraev/Musical-style-transfer-with-cycle-consistent-generative-adversarial-neural-networks",
        "url": "https://github.com/SimeonKraev/Musical-style-transfer-with-cycle-consistent-generative-adversarial-neural-networks"
      },
      {
        "title": "mehdidc/any2any",
        "url": "https://github.com/mehdidc/any2any"
      },
      {
        "title": "NiucunCode/Deep-Learning-proj2",
        "url": "https://github.com/NiucunCode/Deep-Learning-proj2"
      },
      {
        "title": "liuzeyuMr/CycleGAN-TensorFlow-master",
        "url": "https://github.com/liuzeyuMr/CycleGAN-TensorFlow-master"
      },
      {
        "title": "cydessole/AnimeLife",
        "url": "https://github.com/cydessole/AnimeLife"
      },
      {
        "title": "T-C-J/shuiying",
        "url": "https://github.com/T-C-J/shuiying"
      },
      {
        "title": "whitenightwu/CycleGAN-TensorFlow",
        "url": "https://github.com/whitenightwu/CycleGAN-TensorFlow"
      },
      {
        "title": "khush3/GAN",
        "url": "https://github.com/khush3/GAN"
      },
      {
        "title": "GBATZOLIS/Wespe-Keras",
        "url": "https://github.com/GBATZOLIS/Wespe-Keras"
      },
      {
        "title": "ucsd-ml-arts/ml-art-final-justin-law",
        "url": "https://github.com/ucsd-ml-arts/ml-art-final-justin-law"
      },
      {
        "title": "WeiYangze/hibernate-demo",
        "url": "https://github.com/WeiYangze/hibernate-demo"
      },
      {
        "title": "mori97/CycleGAN-chainer",
        "url": "https://github.com/mori97/CycleGAN-chainer"
      },
      {
        "title": "TJJTJJTJJ/pytorch_CycleGAN_frame",
        "url": "https://github.com/TJJTJJTJJ/pytorch_CycleGAN_frame"
      },
      {
        "title": "jiajunhua/CycleGAN",
        "url": "https://github.com/jiajunhua/CycleGAN"
      },
      {
        "title": "manicman1999/CycleGAN256-BR",
        "url": "https://github.com/manicman1999/CycleGAN256-BR"
      },
      {
        "title": "mickan123/CycleGAN",
        "url": "https://github.com/mickan123/CycleGAN"
      },
      {
        "title": "arnavdodiedo/sketch2face",
        "url": "https://github.com/arnavdodiedo/sketch2face"
      }
    ],
    "date": "2017-03-30",
    "date2": 20170330,
    "model": "CycleGAN",
    "paper": {
      "title": "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks",
      "url": "https://cknow.io/lib/31dbc8d0a9e0477b"
    },
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    "Class IOU": 0.08,
    "Per-class Accuracy": 11,
    "Per-pixel Accuracy": 45,
    "code_links": [
      {
        "title": "eriklindernoren/Keras-GAN",
        "url": "https://github.com/eriklindernoren/Keras-GAN"
      },
      {
        "title": "eriklindernoren/PyTorch-GAN",
        "url": "https://github.com/eriklindernoren/PyTorch-GAN"
      },
      {
        "title": "mingyuliutw/CoGAN",
        "url": "https://github.com/mingyuliutw/CoGAN"
      }
    ],
    "date": "2016-06-24",
    "date2": 20160624,
    "model": "CoGAN",
    "paper": {
      "title": "Coupled Generative Adversarial Networks",
      "url": "https://cknow.io/lib/b846de88548020a2"
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    "code_links": [
      {
        "title": "IshmaelBelghazi/ALI",
        "url": "https://github.com/IshmaelBelghazi/ALI"
      },
      {
        "title": "zhenxuan00/graphical-gan",
        "url": "https://github.com/zhenxuan00/graphical-gan"
      },
      {
        "title": "lkhphuc/Anomaly-BiGAN",
        "url": "https://github.com/lkhphuc/Anomaly-BiGAN"
      },
      {
        "title": "lkhphuc/Anomaly-XRay-GANs",
        "url": "https://github.com/lkhphuc/Anomaly-XRay-GANs"
      },
      {
        "title": "kryvosheyev/xray-anomaly-detection",
        "url": "https://github.com/kryvosheyev/xray-anomaly-detection"
      },
      {
        "title": "pavasgdb/Anomaly-detector-using-GAN",
        "url": "https://github.com/pavasgdb/Anomaly-detector-using-GAN"
      },
      {
        "title": "GaParmar/text_to_image",
        "url": "https://github.com/GaParmar/text_to_image"
      }
    ],
    "date": "2016-06-02",
    "date2": 20160602,
    "model": "BiGAN",
    "paper": {
      "title": "Adversarially Learned Inference",
      "url": "https://cknow.io/lib/3242119ef9a19672"
    },
    "paper_data_uoa": "3242119ef9a19672"
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  {
    "Class IOU": 0.07,
    "Per-class Accuracy": 11,
    "Per-pixel Accuracy": 47,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/gan"
      },
      {
        "title": "mjdietzx/SimGAN",
        "url": "https://github.com/mjdietzx/SimGAN"
      },
      {
        "title": "rickyhan/SimGAN-Captcha",
        "url": "https://github.com/rickyhan/SimGAN-Captcha"
      },
      {
        "title": "shinseung428/simGAN_NYU_Hand",
        "url": "https://github.com/shinseung428/simGAN_NYU_Hand"
      },
      {
        "title": "AlexHex7/SimGAN_pytorch",
        "url": "https://github.com/AlexHex7/SimGAN_pytorch"
      },
      {
        "title": "rvorias/uvHolographics",
        "url": "https://github.com/rvorias/uvHolographics"
      }
    ],
    "date": "2016-12-22",
    "date2": 20161222,
    "model": "SimGAN",
    "paper": {
      "title": "Learning from Simulated and Unsupervised Images through Adversarial Training",
      "url": "https://cknow.io/lib/4af69ec701f8510c"
    },
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]