{"version":"1.0","provider_name":"Sensor Simulation with Dynamic Objects","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2023team1","title":"Method - Sensor Simulation with Dynamic Objects","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Cd6edJOpLy\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2023team1\/method\/\">Method<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2023team1\/method\/embed\/#?secret=Cd6edJOpLy\" width=\"600\" height=\"338\" title=\"&#8220;Method&#8221; &#8212; Sensor Simulation with Dynamic Objects\" data-secret=\"Cd6edJOpLy\" 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\/2023team1\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Baseline We use the approach mentioned in DynamicNeRF [1] as our baseline. The overall architecture of DynamicNeRF consists of two NeRF models, one for the static scene and the other for the dynamic object. Both of the NeRF models take the following inputs: The static model implements vanilla NeRF, querying color and density given the &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/2023team1\/wp-content\/uploads\/sites\/72\/2022\/12\/Screenshot-from-2022-12-20-23-28-15-1024x404.png"}