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	Comments on: Lyra 2.0 — NVIDIA&#8217;s World Model Stopped Forgetting: Walk a Whole Street From One Photo, and Get Splats a Robot Can Drive Through	</title>
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	<link>https://www.ik3d.fr/lyra-2-0-nvidias-world-model-stopped-forgetting-walk-a-whole-street-from-one-photo-and-get-splats-a-robot-can-drive-through/</link>
	<description>Art Director / B3D</description>
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		By: dliyatul awliya		</title>
		<link>https://www.ik3d.fr/lyra-2-0-nvidias-world-model-stopped-forgetting-walk-a-whole-street-from-one-photo-and-get-splats-a-robot-can-drive-through/#comment-139990</link>

		<dc:creator><![CDATA[dliyatul awliya]]></dc:creator>
		<pubDate>Sun, 04 Oct 2026 14:55:17 +0000</pubDate>
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					<description><![CDATA[An impressive look at how Lyra 2.0 addresses the challenge of maintaining 3D consistency over longer distances. The combination of spatial memory, self-augmented training, and exportable Gaussian Splats and meshes shows how world models could become valuable tools for robotics, simulation, and 3D content creation.]]></description>
			<content:encoded><![CDATA[<p>An impressive look at how Lyra 2.0 addresses the challenge of maintaining 3D consistency over longer distances. The combination of spatial memory, self-augmented training, and exportable Gaussian Splats and meshes shows how world models could become valuable tools for robotics, simulation, and 3D content creation.</p>
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