[
  {
    "Kernel Inception Distance": 7.47,
    "code_links": [
      {
        "title": "taki0112/UGATIT",
        "url": "https://github.com/taki0112/UGATIT"
      },
      {
        "title": "znxlwm/UGATIT-pytorch",
        "url": "https://github.com/znxlwm/UGATIT-pytorch"
      },
      {
        "title": "minivision-ai/photo2cartoon",
        "url": "https://github.com/minivision-ai/photo2cartoon"
      },
      {
        "title": "t04glovern/selfie2anime",
        "url": "https://github.com/t04glovern/selfie2anime"
      },
      {
        "title": "zeka-io/selfi-to-anime",
        "url": "https://github.com/zeka-io/selfi-to-anime"
      },
      {
        "title": "zeka-io/selfie-to-anime",
        "url": "https://github.com/zeka-io/selfie-to-anime"
      },
      {
        "title": "jqueguiner/selfie2anime",
        "url": "https://github.com/jqueguiner/selfie2anime"
      },
      {
        "title": "wkcn/UGATIT-mxnet",
        "url": "https://github.com/wkcn/UGATIT-mxnet"
      },
      {
        "title": "WuZhewei/my_First_GAN_tryout",
        "url": "https://github.com/WuZhewei/my_First_GAN_tryout"
      },
      {
        "title": "casey-barr/generative-models-in-tensorflow",
        "url": "https://github.com/casey-barr/generative-models-in-tensorflow"
      },
      {
        "title": "AverageName/Cycle_gan_pytorch",
        "url": "https://github.com/AverageName/Cycle_gan_pytorch"
      },
      {
        "title": "AverageName/UI2IT",
        "url": "https://github.com/AverageName/UI2IT"
      }
    ],
    "date": "2019-07-25",
    "date2": 20190725,
    "model": "U-GAT-IT",
    "paper": {
      "title": "U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation",
      "url": "https://cknow.io/lib/4c4e8f952cb449aa"
    },
    "paper_data_uoa": "4c4e8f952cb449aa"
  },
  {
    "Frechet Inception Distance": 110.5,
    "Number of params": "28.2M",
    "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"
    },
    "paper_data_uoa": "31dbc8d0a9e0477b"
  },
  {
    "Frechet Inception Distance": 112.3,
    "Number of params": "15.9M",
    "code_links": [],
    "date": "2020-08-13",
    "date2": 20200813,
    "model": "PoL (CycleGAN)",
    "paper": {
      "title": "Powers of layers for image-to-image translation",
      "url": "https://cknow.io/lib/fa65848f88308603"
    },
    "paper_data_uoa": "fa65848f88308603"
  }
]