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	<id>https://robowaifu.tech/w/index.php?action=history&amp;feed=atom&amp;title=Real-ESRGAN</id>
	<title>Real-ESRGAN - Revision history</title>
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	<updated>2026-10-12T08:03:17Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://robowaifu.tech/w/index.php?title=Real-ESRGAN&amp;diff=134&amp;oldid=prev</id>
		<title>RobowaifuDev: Created page with &quot;&#039;&#039;&#039;Real-ESRGAN&#039;&#039;&#039; is an extension to the powerful ESRGAN model and is able to generate high-resolution images with better perceptual quality than existing methods. The model has been tested across a variety of datasets and been shown to produce results that are comparable to or better than state-of-the-art methods.  Real-ESRGAN works by training on datasets of synthetic images which have been degraded in a similar fashion to real-world images. This allows the model t...&quot;</title>
		<link rel="alternate" type="text/html" href="https://robowaifu.tech/w/index.php?title=Real-ESRGAN&amp;diff=134&amp;oldid=prev"/>
		<updated>2022-12-29T17:34:13Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;&amp;#039;&amp;#039;&amp;#039;Real-ESRGAN&amp;#039;&amp;#039;&amp;#039; is an extension to the powerful &lt;a href=&quot;/w/index.php?title=ESRGAN&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;ESRGAN (page does not exist)&quot;&gt;ESRGAN&lt;/a&gt; model and is able to generate high-resolution images with better perceptual quality than existing methods. The model has been tested across a variety of datasets and been shown to produce results that are comparable to or better than state-of-the-art methods.  Real-ESRGAN works by training on datasets of synthetic images which have been degraded in a similar fashion to real-world images. This allows the model t...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&amp;#039;&amp;#039;&amp;#039;Real-ESRGAN&amp;#039;&amp;#039;&amp;#039; is an extension to the powerful [[ESRGAN]] model and is able to generate high-resolution images with better perceptual quality than existing methods. The model has been tested across a variety of datasets and been shown to produce results that are comparable to or better than state-of-the-art methods.&lt;br /&gt;
&lt;br /&gt;
Real-ESRGAN works by training on datasets of synthetic images which have been degraded in a similar fashion to real-world images. This allows the model to learn the patterns of degradation and how to recover them in order to generate high-resolution images with better perceptual quality.&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
* [https://github.com/xinntao/Real-ESRGAN GitHub]&lt;br /&gt;
* [https://upscale.wiki/wiki/Official_Research_Models Pre-trained models]&lt;/div&gt;</summary>
		<author><name>RobowaifuDev</name></author>
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