[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-189384-105":53,"doc-detail-189384-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","logomotion-comparison-study","LogoMotion Comparison Study","","This document presents a comparison study on the relevance of different conditions related to LogoMotion, focusing on the effectiveness of 'Magic Animate', 'LogoMotion Ablated', and 'LogoMotion Full' techniques. The first image is a bar chart showing the 'Average Relevance (top-2)' across these three conditions, with error bars indicating variability. 'LogoMotion Full' appears to have the highest average relevance, followed by 'LogoMotion Ablated', and then 'Magic Animate'. The second image illustrates a workflow for 'Visually-Grounded Program Repair', detailing steps from bug detection and description to isolated code fix generation and merging with animation code, involving GPT-4-V. The third image is a stacked bar chart depicting 'Program Repair Attempts vs. k Across All Errors', where 'k' represents the maximum attempts allowed for an LLM on each visual error. The chart shows the 'Solve Rate' for different values of k, indicating that as k increases, the solve rate generally improves, with a significant portion of errors being solved within 1 to 3 attempts, and a smaller proportion failing after 4 or more attempts.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/logomotion-comparison-study/189384/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/logomotion-comparison-study/189384.png","ImageObject",442,249,{"name":88,"@type":89},"Stanley","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-29","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What does the comparison study evaluate regarding LogoMotion?","Question",{"text":109,"@type":110},"The study compares the relevance of different conditions related to LogoMotion, specifically 'Magic Animate', 'LogoMotion Ablated', and 'LogoMotion Full'.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What is the purpose of the 'Visually-Grounded Program Repair' workflow?",{"text":114,"@type":110},"This workflow outlines a process for repairing code issues within animation code using visual input, AI (GPT-4-V), and a step-by-step generation and integration of code fixes.",{"name":116,"@type":107,"acceptedAnswer":117},"How does the number of allowed repair attempts (k) affect the solve rate for visual errors?",{"text":118,"@type":110},"As the maximum number of allowed repair attempts (k) increases, the solve rate for visual errors generally improves, indicating that more attempts allow the LLM to successfully fix more issues.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},189384,1788396435,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":25,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":126,"read_time":47},2336477405376,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","| LogoMotion Full | 3.05** | 3.15 | 3.25 |\n| --- | --- | --- | --- |\n| LogoMotion Ablated | 2.68 | 3.18 | 3.38 |\n| Magic Animate | 2.33 | 3.12 | 3.22 |\n\n| 1 | 0.64 | 0.64 |\n| --- | --- | --- |\n| 2 | 0.85 | 0.68 |\n| 3 | 0.92 | 0.75 |\n| 4 | 0.96 | 0.82 |","cbCaimDlFfpTbJSm","https://ap.wps.com/l/cbCaimDlFfpTbJSm","pdf",6525004,"English","# Comparison Study. Relevance vs. Conditions\n# VISUALLY-GROUNDED PROGRAM REPAIR\n# Program Repair Attempts vs. k Across All Errors","[{\"question\":\"What does the comparison study evaluate regarding LogoMotion?\",\"answer\":\"The study compares the relevance of different conditions related to LogoMotion, specifically 'Magic Animate', 'LogoMotion Ablated', and 'LogoMotion Full'.\"},{\"question\":\"What is the purpose of the 'Visually-Grounded Program Repair' workflow?\",\"answer\":\"This workflow outlines a process for repairing code issues within animation code using visual input, AI (GPT-4-V), and a step-by-step generation and integration of code fixes.\"},{\"question\":\"How does the number of allowed repair attempts (k) affect the solve rate for visual errors?\",\"answer\":\"As the maximum number of allowed repair attempts (k) increases, the solve rate for visual errors generally improves, indicating that more attempts allow the LLM to successfully fix more issues.\"}]","LogoMotion Comparison Study | PDF"]