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		<title><![CDATA[SmoothVideo Project — IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?]]></title>
		<link>https://www.svp-team.com/forum/viewtopic.php?id=6666</link>
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		<description><![CDATA[The most recent posts in IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?.]]></description>
		<lastBuildDate>Thu, 13 Jul 2023 14:11:08 +0000</lastBuildDate>
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			<title><![CDATA[Re: IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?]]></title>
			<link>https://www.svp-team.com/forum/viewtopic.php?pid=82722#p82722</link>
			<description><![CDATA[<div class="quotebox"><cite>MAG79 wrote:</cite><blockquote><p>It is one year old project with no updates at github.</p></blockquote></div><p>Yes I noticed that, but I thought, or maybe hoped that there was something I was missing.</p>]]></description>
			<author><![CDATA[null@example.com (dawkinscm)]]></author>
			<pubDate>Thu, 13 Jul 2023 14:11:08 +0000</pubDate>
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			<title><![CDATA[Re: IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?]]></title>
			<link>https://www.svp-team.com/forum/viewtopic.php?pid=82720#p82720</link>
			<description><![CDATA[<p>It is one year old project with no updates at github.<br />I think RIFE become more fast and give more quality now because of it growing all last year.</p><p>Do you have any information about IFRNet updates?</p>]]></description>
			<author><![CDATA[null@example.com (MAG79)]]></author>
			<pubDate>Thu, 13 Jul 2023 09:53:22 +0000</pubDate>
			<guid>https://www.svp-team.com/forum/viewtopic.php?pid=82720#p82720</guid>
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			<title><![CDATA[Re: IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?]]></title>
			<link>https://www.svp-team.com/forum/viewtopic.php?pid=82719#p82719</link>
			<description><![CDATA[<div class="quotebox"><cite>UHD wrote:</cite><blockquote><p>Great news!</p><p><strong>nihui</strong>, who has made a very important optimisation of the AI RIFE algorithm for Tensor Cores and thanks to which we can already use this algorithm to interpolate 1080p files in real time....</p><p><span class="bbu">an hour ago</span> he published the full packages of the <strong><span style="color: red">new AI interpolation algorithm optimised for Tensor Cores</span></strong> - <strong>IFRNet ncnn Vulkan</strong><br /><a href="https://github.com/nihui/ifrnet-ncnn-vulkan/releases/tag/20220720">https://github.com/nihui/ifrnet-ncnn-vu … g/20220720</a></p><p><strong>IFRNet</strong> algorithm source code:<br /><a href="https://github.com/ltkong218/IFRNet">https://github.com/ltkong218/IFRNet</a></p><p>Full description of the algorithm:<br /><a href="https://arxiv.org/pdf/2205.14620.pdf">https://arxiv.org/pdf/2205.14620.pdf</a></p></blockquote></div><p>So the obvious question is how do we use this? Can we use it with SVP or do we have to wait to see if the DEVs can (or want to) incorporate it?</p>]]></description>
			<author><![CDATA[null@example.com (dawkinscm)]]></author>
			<pubDate>Thu, 13 Jul 2023 08:58:18 +0000</pubDate>
			<guid>https://www.svp-team.com/forum/viewtopic.php?pid=82719#p82719</guid>
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			<title><![CDATA[Re: IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?]]></title>
			<link>https://www.svp-team.com/forum/viewtopic.php?pid=80750#p80750</link>
			<description><![CDATA[<p>An hour ago <strong>nihui</strong> wrote:</p><div class="quotebox"><blockquote><p>This is yet another new video frame interpolation AI like RIFE<br /><strong><span class="bbu">It claims to be better and faster than RIFE</span></strong> in the paper</p><p>I ported IFRNet to ncnn-vulkan <img src="https://www.svp-team.com/forum/img/smilies/big_smile.png" width="15" height="15" alt="big_smile" /></p></blockquote></div><p><a href="https://twitter.com/nihui/status/1549763955396333568">https://twitter.com/nihui/status/1549763955396333568</a></p><br /><p>For me, mainly interested in real-time interpolation, the <strong>IFRNet small</strong> interpolation model is particularly interesting: </p><p><strong>RIFE</strong> <strong><span style="color: green">35.62</span></strong> PSNR Vimeo90K vs. <strong>IFRNet small</strong> <strong><span style="color: red">35.59</span></strong> PSNR Vimeo90K</p><p>Time:</p><p><strong>RIFE</strong> <strong><span style="color: red">0.026 s</span></strong>&nbsp; vs. <strong>IFRNet small</strong> <strong><span style="color: green">0.019 s</span></strong></p><p>Source: <a href="https://arxiv.org/pdf/2205.14620.pdf">https://arxiv.org/pdf/2205.14620.pdf</a> </p><br /><p>Practically similar quality with a <strong><span class="bbu">27% reduction in interpolation time</span></strong>.</p>]]></description>
			<author><![CDATA[null@example.com (UHD)]]></author>
			<pubDate>Wed, 20 Jul 2022 15:29:51 +0000</pubDate>
			<guid>https://www.svp-team.com/forum/viewtopic.php?pid=80750#p80750</guid>
		</item>
		<item>
			<title><![CDATA[IFRNet ncnn Vulkan - Release 20220720: faster and better than RIFE?]]></title>
			<link>https://www.svp-team.com/forum/viewtopic.php?pid=80749#p80749</link>
			<description><![CDATA[<p>Great news!</p><p><strong>nihui</strong>, who has made a very important optimisation of the AI RIFE algorithm for Tensor Cores and thanks to which we can already use this algorithm to interpolate 1080p files in real time....</p><p><span class="bbu">an hour ago</span> he published the full packages of the <strong><span style="color: red">new AI interpolation algorithm optimised for Tensor Cores</span></strong> - <strong>IFRNet ncnn Vulkan</strong><br /><a href="https://github.com/nihui/ifrnet-ncnn-vulkan/releases/tag/20220720">https://github.com/nihui/ifrnet-ncnn-vu … g/20220720</a></p><p><strong>IFRNet</strong> algorithm source code:<br /><a href="https://github.com/ltkong218/IFRNet">https://github.com/ltkong218/IFRNet</a></p><p>Full description of the algorithm:<br /><a href="https://arxiv.org/pdf/2205.14620.pdf">https://arxiv.org/pdf/2205.14620.pdf</a></p>]]></description>
			<author><![CDATA[null@example.com (UHD)]]></author>
			<pubDate>Wed, 20 Jul 2022 15:11:53 +0000</pubDate>
			<guid>https://www.svp-team.com/forum/viewtopic.php?pid=80749#p80749</guid>
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