<story><title>Gaudi: A Neural Architect for Immersive 3D Scene Generation</title><url>https://github.com/apple/ml-gaudi</url></story><parent_chain></parent_chain><comment><author>yarg</author><text>Perhaps I&amp;#x27;m wrong, but judging by the wibbly-wobbly walls, this is well behind the  state of the art when it comes to the preservation of spatial invariants.&lt;p&gt;By comparison a lot of the more recent demos are not only capable of polyframe structure preservation, but also do a very good job at preserving invariants even of subjects that are moving and deforming (such as a speaking human).</text></comment>
<story><title>Gaudi: A Neural Architect for Immersive 3D Scene Generation</title><url>https://github.com/apple/ml-gaudi</url></story><parent_chain></parent_chain><comment><author>Hnus</author><text>&amp;gt; enables conditional generation of 3D scenes from different modalities like text or RGB images.&lt;p&gt;Please help me understand few dumb questions I have.&lt;p&gt;- What exactly is used as an input to generate such scenes is it just few pictures or even text description?&lt;p&gt;- Is it able to generate data for something which was not in the input? Like you have some common object in the corner of your photo and its able to expand the picture as if you had it in the frame in the first place?&lt;p&gt;- What is the end game of technologies like these? Could it be one day fed lets say every piece of data google has about the world like every 360 picture, every book, article, video, movie and so on allowing you to take picture of something and spawning infinitely walkable world looking and behaving as our reality? Similar to procedurally generated video game map.</text></comment>