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{
"copyright_text": "Creative Commons Attribution license (reuse allowed)",
"description": "Introduction of super resolution with deep learning techniques. Super\nresolution is a technique which serve low- resolution image as input and\noutputs high-resolution images. How to preserve edges and restore detail\ninformation in the high-resolution image is very important. In this\ntalk, we will discuss the developments of super resolution, especially\nmethods using deep learning where pytorch is used during training.\n",
"duration": 1641,
"language": "eng",
"recorded": "2018-11-24",
"related_urls": [
{
"label": "Conference schedule",
"url": "http://pycon.hk/schedule-2018/"
}
],
"speakers": [
"GUAN Jingwei"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi/_jkoR9Xmd_A/hqdefault.jpg",
"title": "Developments of Super Resolution",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=_jkoR9Xmd_A"
}
]
}