<story><title>Arm Accuracy Super Resolution</title><url>https://community.arm.com/arm-community-blogs/b/graphics-gaming-and-vr-blog/posts/introducing-arm-accuracy-super-resolution</url></story><parent_chain></parent_chain><comment><author>kibwen</author><text>Graphical fidelity isn&amp;#x27;t the reason I don&amp;#x27;t play mobile games. I don&amp;#x27;t play mobile games because touchscreens are terribly deficient compared to a controller, and because the monetization of mobile games is invariably psychotic.</text></comment>
<story><title>Arm Accuracy Super Resolution</title><url>https://community.arm.com/arm-community-blogs/b/graphics-gaming-and-vr-blog/posts/introducing-arm-accuracy-super-resolution</url></story><parent_chain></parent_chain><comment><author>rendaw</author><text>The article lists two methods:&lt;p&gt;* Spatial - Inferring data from nearby pixels in a single frame (?)
* Temporal - Inferring data from a point on previous and next frames&lt;p&gt;I guess this is super resolution in the statistical sense, rather than &amp;quot;AI super resolution&amp;quot; which would infer data from similar data in other photos&amp;#x2F;videos.&lt;p&gt;I&amp;#x27;m surprised, I thought this was a dead area for research and AI super resolution had fully supplanted it.  Are there any open source implementations of this, ex: for photography?  I was digging into this a few years ago and all I could find was the commercial &amp;quot;PhotoAcute&amp;quot; which is basically dead but I somehow managed to get a key for and it... barely works.</text></comment>