[
  {
    "Inception score": 4.75,
    "code_links": [
      {
        "title": "MinfengZhu/DM-GAN",
        "url": "https://github.com/MinfengZhu/DM-GAN"
      },
      {
        "title": "tobran/DF-GAN",
        "url": "https://github.com/tobran/DF-GAN"
      }
    ],
    "date": "2019-04-02",
    "date2": 20190402,
    "model": "DM-GAN",
    "paper": {
      "title": "DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis",
      "url": "https://cknow.io/lib/376b9e4e2cac5209"
    },
    "paper_data_uoa": "376b9e4e2cac5209"
  },
  {
    "Inception score": 4.58,
    "code_links": [
      {
        "title": "mrlibw/ControlGAN",
        "url": "https://github.com/mrlibw/ControlGAN"
      },
      {
        "title": "taki0112/ControlGAN-Tensorflow",
        "url": "https://github.com/taki0112/ControlGAN-Tensorflow"
      }
    ],
    "date": "2019-09-16",
    "date2": 20190916,
    "model": "Attention-driven Generator (perceptual loss)",
    "paper": {
      "title": "Controllable Text-to-Image Generation",
      "url": "https://cknow.io/lib/839f6a1cf540bebf"
    },
    "paper_data_uoa": "839f6a1cf540bebf"
  },
  {
    "Inception score": 4.56,
    "code_links": [
      {
        "title": "byby221b/PaperReading",
        "url": "https://github.com/byby221b/PaperReading"
      }
    ],
    "date": "2019-03-14",
    "date2": 20190314,
    "model": "MirrorGAN",
    "paper": {
      "title": "MirrorGAN: Learning Text-to-image Generation by Redescription",
      "url": "https://cknow.io/lib/2ebe425faf7a69e2"
    },
    "paper_data_uoa": "2ebe425faf7a69e2"
  },
  {
    "Inception score": 4.36,
    "code_links": [
      {
        "title": "taoxugit/AttnGAN",
        "url": "https://github.com/taoxugit/AttnGAN"
      },
      {
        "title": "Shuvrajit9904/PairedCycleGAN-tf",
        "url": "https://github.com/Shuvrajit9904/PairedCycleGAN-tf"
      },
      {
        "title": "davidstap/AttnGAN",
        "url": "https://github.com/davidstap/AttnGAN"
      },
      {
        "title": "taki0112/AttnGAN-Tensorflow",
        "url": "https://github.com/taki0112/AttnGAN-Tensorflow"
      },
      {
        "title": "bprabhakar/text-to-image",
        "url": "https://github.com/bprabhakar/text-to-image"
      },
      {
        "title": "ChihchengHsieh/AttnGAN_Implementation",
        "url": "https://github.com/ChihchengHsieh/AttnGAN_Implementation"
      },
      {
        "title": "aleksey-egorov/attngan",
        "url": "https://github.com/aleksey-egorov/attngan"
      },
      {
        "title": "jmuddappa/art-gan-erator",
        "url": "https://github.com/jmuddappa/art-gan-erator"
      },
      {
        "title": "roxanasoto/AttGanESRGAN",
        "url": "https://github.com/roxanasoto/AttGanESRGAN"
      },
      {
        "title": "Maymaher/StackGANv2",
        "url": "https://github.com/Maymaher/StackGANv2"
      }
    ],
    "date": "2017-11-28",
    "date2": 20171128,
    "model": "AttnGAN",
    "paper": {
      "title": "AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks",
      "url": "https://cknow.io/lib/40cd9fa357c9c4d8"
    },
    "paper_data_uoa": "40cd9fa357c9c4d8"
  },
  {
    "FID": 15.3,
    "Inception score": 3.82,
    "code_links": [
      {
        "title": "hanzhanggit/StackGAN",
        "url": "https://github.com/hanzhanggit/StackGAN"
      },
      {
        "title": "taoxugit/AttnGAN",
        "url": "https://github.com/taoxugit/AttnGAN"
      },
      {
        "title": "hanzhanggit/StackGAN-v2",
        "url": "https://github.com/hanzhanggit/StackGAN-v2"
      },
      {
        "title": "akanimax/T2F",
        "url": "https://github.com/akanimax/T2F"
      },
      {
        "title": "hanzhanggit/StackGAN-Pytorch",
        "url": "https://github.com/hanzhanggit/StackGAN-Pytorch"
      },
      {
        "title": "kkanshul/finegan",
        "url": "https://github.com/kkanshul/finegan"
      },
      {
        "title": "tobran/DF-GAN",
        "url": "https://github.com/tobran/DF-GAN"
      },
      {
        "title": "davidstap/AttnGAN",
        "url": "https://github.com/davidstap/AttnGAN"
      },
      {
        "title": "Maymaher/StackGANv2",
        "url": "https://github.com/Maymaher/StackGANv2"
      }
    ],
    "date": "2017-10-19",
    "date2": 20171019,
    "model": "StackGAN-v2",
    "paper": {
      "title": "StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks",
      "url": "https://cknow.io/lib/e9eb44605b0b2de6"
    },
    "paper_data_uoa": "e9eb44605b0b2de6"
  },
  {
    "FID": 51.89,
    "Inception score": 3.7,
    "code_links": [
      {
        "title": "hanzhanggit/StackGAN",
        "url": "https://github.com/hanzhanggit/StackGAN"
      },
      {
        "title": "taoxugit/AttnGAN",
        "url": "https://github.com/taoxugit/AttnGAN"
      },
      {
        "title": "hanzhanggit/StackGAN-v2",
        "url": "https://github.com/hanzhanggit/StackGAN-v2"
      },
      {
        "title": "akanimax/T2F",
        "url": "https://github.com/akanimax/T2F"
      },
      {
        "title": "hanzhanggit/StackGAN-Pytorch",
        "url": "https://github.com/hanzhanggit/StackGAN-Pytorch"
      },
      {
        "title": "kkanshul/finegan",
        "url": "https://github.com/kkanshul/finegan"
      },
      {
        "title": "tobran/DF-GAN",
        "url": "https://github.com/tobran/DF-GAN"
      },
      {
        "title": "davidstap/AttnGAN",
        "url": "https://github.com/davidstap/AttnGAN"
      },
      {
        "title": "Maymaher/StackGANv2",
        "url": "https://github.com/Maymaher/StackGANv2"
      }
    ],
    "date": "2017-10-19",
    "date2": 20171019,
    "model": "StackGAN-v1 ",
    "paper": {
      "title": "StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks",
      "url": "https://cknow.io/lib/e9eb44605b0b2de6"
    },
    "paper_data_uoa": "e9eb44605b0b2de6"
  },
  {
    "Inception score": 3.7,
    "code_links": [
      {
        "title": "hanzhanggit/StackGAN",
        "url": "https://github.com/hanzhanggit/StackGAN"
      },
      {
        "title": "hanzhanggit/StackGAN-Pytorch",
        "url": "https://github.com/hanzhanggit/StackGAN-Pytorch"
      },
      {
        "title": "hanzhanggit/StackGAN-inception-model",
        "url": "https://github.com/hanzhanggit/StackGAN-inception-model"
      },
      {
        "title": "Vishal-V/StackGAN",
        "url": "https://github.com/Vishal-V/StackGAN"
      },
      {
        "title": "sdai654416/Joint-GAN",
        "url": "https://github.com/sdai654416/Joint-GAN"
      },
      {
        "title": "Vishal-V/GSoC-TensorFlow",
        "url": "https://github.com/Vishal-V/GSoC-TensorFlow"
      },
      {
        "title": "Vishal-V/GSoC",
        "url": "https://github.com/Vishal-V/GSoC"
      },
      {
        "title": "dhirajpatnaik16297/IMG-TXT-Generative-Adversarial-Network",
        "url": "https://github.com/dhirajpatnaik16297/IMG-TXT-Generative-Adversarial-Network"
      },
      {
        "title": "CorneliusHsiao/FoodMethodGAN",
        "url": "https://github.com/CorneliusHsiao/FoodMethodGAN"
      },
      {
        "title": "rafiahmed40/stack-adverserial-network",
        "url": "https://github.com/rafiahmed40/stack-adverserial-network"
      },
      {
        "title": "vdopp234/Text2Image",
        "url": "https://github.com/vdopp234/Text2Image"
      },
      {
        "title": "hg1722/fashionista",
        "url": "https://github.com/hg1722/fashionista"
      },
      {
        "title": "123972/Deep-Learning-Final-Project",
        "url": "https://github.com/123972/Deep-Learning-Final-Project"
      }
    ],
    "date": "2016-12-10",
    "date2": 20161210,
    "model": "StackGAN",
    "paper": {
      "title": "StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks",
      "url": "https://cknow.io/lib/0be1433841cda139"
    },
    "paper_data_uoa": "0be1433841cda139"
  },
  {
    "FID": 67.22,
    "Inception score": 3.62,
    "code_links": [],
    "date": "2016-10-08",
    "date2": 20161008,
    "model": "GAWWN",
    "paper": {
      "title": "Learning What and Where to Draw",
      "url": "https://cknow.io/lib/ea9f80194d1888ac"
    },
    "paper_data_uoa": "ea9f80194d1888ac"
  }
]