{"version":"1.0","provider_name":"Towards Universal State Estimation and Reconstruction in the Wild","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2024team15","title":"Method - Towards Universal State Estimation and Reconstruction in the Wild","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"BJljw7sTuh\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2024team15\/method\/\">Method<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2024team15\/method\/embed\/#?secret=BJljw7sTuh\" width=\"600\" height=\"338\" title=\"&#8220;Method&#8221; &#8212; Towards Universal State Estimation and Reconstruction in the Wild\" data-secret=\"BJljw7sTuh\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/mscvprojects.ri.cmu.edu\/2024team15\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Architecture Match Anything 1. Simplify the architecture to be more generalizable \u00b7 Include more dataset for training 2. Only predict flow in the co-visible region \u00b7 This makes matching a 2D problem, as the network don\u2019t need to reason about occlusions\/geometry! Co-visible Mask Generation Project pixels from camera 1 into 3D space and then back &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/2024team15\/wp-content\/uploads\/sites\/113\/2024\/12\/image.png"}