[
  {
    "FID": 25.35,
    "Inception score": 9.51,
    "code_links": [
      {
        "title": "Yuantian013/E2GAN",
        "url": "https://github.com/Yuantian013/E2GAN"
      }
    ],
    "date": "2020-07-17",
    "date2": 20200717,
    "model": "E2GAN",
    "paper": {
      "title": "Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search",
      "url": "https://cknow.io/lib/d3c5672f4104ad59"
    },
    "paper_data_uoa": "d3c5672f4104ad59"
  },
  {
    "FID": 40.1,
    "Inception score": 9.1,
    "code_links": [
      {
        "title": "pfnet-research/sngan_projection",
        "url": "https://github.com/pfnet-research/sngan_projection"
      },
      {
        "title": "christiancosgrove/pytorch-spectral-normalization-gan",
        "url": "https://github.com/christiancosgrove/pytorch-spectral-normalization-gan"
      },
      {
        "title": "taki0112/Spectral_Normalization-Tensorflow",
        "url": "https://github.com/taki0112/Spectral_Normalization-Tensorflow"
      },
      {
        "title": "crcrpar/pytorch.sngan_projection",
        "url": "https://github.com/crcrpar/pytorch.sngan_projection"
      },
      {
        "title": "Xiaoming-Yu/SingleGAN",
        "url": "https://github.com/Xiaoming-Yu/SingleGAN"
      },
      {
        "title": "rahulbhalley/turing-gan.pytorch",
        "url": "https://github.com/rahulbhalley/turing-gan.pytorch"
      },
      {
        "title": "rahulbhalley/turing-gan",
        "url": "https://github.com/rahulbhalley/turing-gan"
      },
      {
        "title": "koshian2/SNGAN",
        "url": "https://github.com/koshian2/SNGAN"
      },
      {
        "title": "t-ae/singan-s4tf",
        "url": "https://github.com/t-ae/singan-s4tf"
      },
      {
        "title": "hinofafa/Self-Attention-GAN",
        "url": "https://github.com/hinofafa/Self-Attention-GAN"
      },
      {
        "title": "hinofafa/Self-Attention-HearthStone-GAN",
        "url": "https://github.com/hinofafa/Self-Attention-HearthStone-GAN"
      },
      {
        "title": "ankitAMD/Self-Attention-GAN-master_pytorch",
        "url": "https://github.com/ankitAMD/Self-Attention-GAN-master_pytorch"
      },
      {
        "title": "bayraktarbaris/SNGAN",
        "url": "https://github.com/bayraktarbaris/SNGAN"
      },
      {
        "title": "WangZesen/Spectral-Normalization-GAN",
        "url": "https://github.com/WangZesen/Spectral-Normalization-GAN"
      },
      {
        "title": "VitoRazor/Gan_Architecture",
        "url": "https://github.com/VitoRazor/Gan_Architecture"
      },
      {
        "title": "ladadidadida/Self-Attention-GAN",
        "url": "https://github.com/ladadidadida/Self-Attention-GAN"
      },
      {
        "title": "yanqi1811/self-attention",
        "url": "https://github.com/yanqi1811/self-attention"
      },
      {
        "title": "jugatsingh/self_attention_video",
        "url": "https://github.com/jugatsingh/self_attention_video"
      },
      {
        "title": "ksagit/sn_gan_pytorch",
        "url": "https://github.com/ksagit/sn_gan_pytorch"
      },
      {
        "title": "apnkv/nla_spectral_norm",
        "url": "https://github.com/apnkv/nla_spectral_norm"
      },
      {
        "title": "kiban/models",
        "url": "https://github.com/kiban/models"
      },
      {
        "title": "GrayXu/SpectralNormalization-TF-Keras",
        "url": "https://github.com/GrayXu/SpectralNormalization-TF-Keras"
      },
      {
        "title": "kklemon/bgan-pytorch",
        "url": "https://github.com/kklemon/bgan-pytorch"
      },
      {
        "title": "axis-bit/myself-release-notes",
        "url": "https://github.com/axis-bit/myself-release-notes"
      },
      {
        "title": "guy-oren/DIRT-OST",
        "url": "https://github.com/guy-oren/DIRT-OST"
      },
      {
        "title": "ncuzzy/mygan",
        "url": "https://github.com/ncuzzy/mygan"
      },
      {
        "title": "Bingwen-Hu/DRIT",
        "url": "https://github.com/Bingwen-Hu/DRIT"
      },
      {
        "title": "qiaolinhan/ws-preprocess",
        "url": "https://github.com/qiaolinhan/ws-preprocess"
      },
      {
        "title": "meg965/pytorch-rl",
        "url": "https://github.com/meg965/pytorch-rl"
      }
    ],
    "date": "2018-02-16",
    "date2": 20180216,
    "model": "SN-GAN",
    "paper": {
      "title": "Spectral Normalization for Generative Adversarial Networks",
      "url": "https://cknow.io/lib/14633a2ad49dec13"
    },
    "paper_data_uoa": "14633a2ad49dec13"
  }
]