{"version":"1.0","provider_name":"Making Video Foundation Models Practical: From Physical Modalities to Fast Inference","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2025team2-2","title":"2025 Spring: Adding Physical Modalities to Video World Models - Making Video Foundation Models Practical: From Physical Modalities to Fast Inference","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"1xwIiZOMkF\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2025team2-2\/project-1-physical-modalities\/\">2025 Spring: Adding Physical Modalities to Video World Models<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2025team2-2\/project-1-physical-modalities\/embed\/#?secret=1xwIiZOMkF\" width=\"600\" height=\"338\" title=\"&#8220;2025 Spring: Adding Physical Modalities to Video World Models&#8221; &#8212; Making Video Foundation Models Practical: From Physical Modalities to Fast Inference\" data-secret=\"1xwIiZOMkF\" 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\/2025team2-2\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Overview Motivation Recent video generation models have emerged as strong world foundation models, acting as virtual environments where physical AI can grow and learn. They generate high quality RGB videos that serve as the visual representation of the world. However, generating RGB alone is not enough. If we want a world model that truly mimics &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/2025team2-2\/wp-content\/uploads\/sites\/136\/2025\/05\/intro.jpg","thumbnail_width":2037,"thumbnail_height":1195}