1.04D reconstruction From Monocular Videoshttps://mscvprojects.ri.cmu.edu/2025team13rich600338<blockquote class="wp-embedded-content" data-secret="U28F843cIV"><a href="https://mscvprojects.ri.cmu.edu/2025team13/results/"> Results & Conclusion</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2025team13/results/embed/#?secret=U28F843cIV" width="600" height="338" title="“ Results & Conclusion” — 4D reconstruction From Monocular Videos" data-secret="U28F843cIV" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://mscvprojects.ri.cmu.edu/2025team13/wp-includes/js/wp-embed.min.js </script> Results & Conclusion Results Bridging the Sim2Real Gap with Generative Models Given that our point-map regressor uses a frozen SD-DINO encoder as its backbone, one plausible explanation for its ability to generalize to real humans is that the encoder alone provides strong domain robustness. To assess the importance of the synthetic data generation pipeline proposed, … Continue reading ""https://mscvprojects.ri.cmu.edu/2025team13/wp-content/uploads/sites/118/2025/12/Sim2RealGap-1.jpg958421