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README.md

This API will convert your image into a super resolution image.

Providing the low resolution image url to the API will returns the conversion of your image into a super resolution image.


Read these papers to learn more about the super resolution technic:

The super-scaling Residual Dense Network described in Residual Dense Network for Image Super-Resolution (Zhang et al. 2018)
https://arxiv.org/abs/1802.08797

@article{DBLP:journals/corr/abs-1802-08797,
  author    = {Yulun Zhang and
               Yapeng Tian and
               Yu Kong and
               Bineng Zhong and
               Yun Fu},
  title     = {Residual Dense Network for Image Super-Resolution},
  journal   = {CoRR},
  volume    = {abs/1802.08797},
  year      = {2018},
  url       = {http://arxiv.org/abs/1802.08797},
  archivePrefix = {arXiv},
  eprint    = {1802.08797},
  timestamp = {Mon, 13 Aug 2018 16:46:41 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1802-08797},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

The super-scaling Residual in Residual Dense Network described in ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks (Wang et al. 2018)
https://arxiv.org/abs/1809.00219

@article{DBLP:journals/corr/abs-1809-00219,
  author    = {Xintao Wang and
               Ke Yu and
               Shixiang Wu and
               Jinjin Gu and
               Yihao Liu and
               Chao Dong and
               Chen Change Loy and
               Yu Qiao and
               Xiaoou Tang},
  title     = {{ESRGAN:} Enhanced Super-Resolution Generative Adversarial Networks},
  journal   = {CoRR},
  volume    = {abs/1809.00219},
  year      = {2018},
  url       = {http://arxiv.org/abs/1809.00219},
  archivePrefix = {arXiv},
  eprint    = {1809.00219},
  timestamp = {Fri, 05 Oct 2018 11:34:52 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1809-00219},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

A custom discriminator network based on the one described in Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (SRGANS, Ledig et al. 2017)
https://arxiv.org/abs/1609.04802

@article{DBLP:journals/corr/LedigTHCATTWS16,
  author    = {Christian Ledig and
               Lucas Theis and
               Ferenc Huszar and
               Jose Caballero and
               Andrew P. Aitken and
               Alykhan Tejani and
               Johannes Totz and
               Zehan Wang and
               Wenzhe Shi},
  title     = {Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial
               Network},
  journal   = {CoRR},
  volume    = {abs/1609.04802},
  year      = {2016},
  url       = {http://arxiv.org/abs/1609.04802},
  archivePrefix = {arXiv},
  eprint    = {1609.04802},
  timestamp = {Mon, 13 Aug 2018 16:48:38 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/LedigTHCATTWS16},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

EXAMPLE
example
example


INPUT

{
  "url": "https://i.ibb.co/TTQFWZS/input.png"
}

EXECUTION

curl -X POST "https://api-market-place.ai.ovh.net/image-selfie2anime/process" -H "accept: application/json" -H "X-OVH-Api-Key: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX" -H "Content-Type: application/json" -d '{"url":"https://i.ibb.co/TTQFWZS/input.png"}'

OUTPUT

output

please refer to swagger documentation for further technical details: swagger documentation


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