[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-84098-en":3,"doc-seo-84098-105":29,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":11,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},84098,1099514067438,"River Wang","https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542",8,"Research & Report","AlayaWorld: Long-Horizon and Playable Video World Generation","Game worlds historically rely on labor-intensive pipelines that make them costly, hard to customize, and expensive to modify after deployment. Video world models enable a different paradigm: autoregressive synthesis of future observations conditioned on current world state and user interactions, generating playable worlds online. Trained on gameplay and real-world videos, they learn visual diversity and physical dynamics. The paper introduces AlayaWorld, a full-stack open-source framework unifying data, training, inference acceleration, deployment, reproducible pipelines, reference implementations, and evaluation tools.","arXiv :2607 .0629 1v 1 [ cs .CV] 7 Jul 2026  \nAlayaWorld: Long-Horizon and Playable Video World Generation  \nAlayaWorld Team, Alaya Lab  \nSeethe contribution section for the author list  \nGame worlds have traditionally been built through labor-intensive production pipelines, making them costly to develop, difficult to customization, and expensive to modify after deployment. Recent advances in video world models offer a fundamentally different paradigm. Rather than explicitly authoring every component of a virtual environment, these models autoregressively synthesize future observations conditioned on the current world state and user interactions, enabling playable worlds to be generated online. Trained on both gameplay recordings and real-world videos, they can capture diverse visual appearances and physical dynamics, opening new opportunities for interactive applications beyond gaming, including embodied intelligence. In this paper, we present AlayaWorld, a full-stack open-source framework for building interactive generative worlds. AlayaWorld enables open-ended real-time interaction, allowing users to freely navigate and perform diverse actions such as combat, spell casting, and monster summoning. The framework unifies the complete development-from data preparation model architecture, model training, inference acceleration, and deployment-within a modular and extensible architecture. Alongside the framework, we release reproducible pipelines, reference implementations, evaluation tools, and comprehensive documentation, establishing a practical foundation for future research and real-time applications of generative world models.  \nProject Page: [https://alaya-lab.github.io/AlayaWorld/](https://alaya-lab.github.io/AlayaWorld/)[ ](https://alaya-lab.github.io/AlayaWorld/)Video: [https://www.youtube.com/watch?v=n0jIEg7taTI](https://www.youtube.com/watch?v=n0jIEg7taTI)  \nCorrespondence: [kaipeng.zhang@shanda.com](kaipeng.zhang@shanda.com)  \nDate: July 8, 2026  \nAlaya World  \nFigure 1 Interactive world simulation across diverse scenes. AlayaWorld synthesizes explorable worlds that span firstand third-person viewpoints, real-world, game, and synthetic domains, and both indoor and outdoor environments. Moreover, it accommodates open-ended actions such as spell-casting, weapon combat, and monster summoning.  \n1 Introduction  \nAlaya represents the foundation where intelligence, creativity, and new worlds are born.  \nInteractive virtual worlds lie at the core of 3D video games and are increasingly serving as experimental platforms beyond entertainment, including embodied agent, robotics simulation, and the study of human decision-making in controllable environments. The significance of these worlds stems not only from their visual realism but also from their interactivity: players or agents continuously issue actions, and the environment responds with coherent and persistent streams of observations. Consequently, constructing virtual worlds that are simultaneously rich, interactive, and persistent has long been a central objective in artificial intelligence.  \nConventional game world creation has relied on a labor-intensive production pipeline. While it provides high-quality game, it comes at substantial cost. Objects, animations, gameplay, interaction rules and others must all be explicitly specified in advance, resulting in worlds that are largely predefined and difficult to modify after deployment. Extending existing environments or introducing new content often requires re-engaging the entire production process, limiting both the scalability and adaptability of virtual worlds.  \nRecent advances in Video world models [2, 5, 13, 44, 45, 60, 63, 71, 87, 99] have introduced a fundamentally different paradigm for interactive world creation. Rather than explicitly constructing the whole world, generative models can directly predict future observations and synthesize subsequent visual states conditioned on user interactions. Under this par","cbCaip3UWl3g26jh","https://ap.wps.com/l/cbCaip3UWl3g26jh","pdf",17767657,1,15,"English","en",105,"# Introduction\n# Related Work","[{\"question\":\"What problem does the AlayaWorld approach address compared with traditional game world production?\",\"answer\":\"Traditional pipelines require explicitly authoring objects, animations, rules, and interactions, making worlds costly and difficult to change after deployment. AlayaWorld targets this by using video world models to synthesize future observations conditioned on user interactions rather than manually constructing everything upfront.\"},{\"question\":\"How does AlayaWorld enable playable, interactive video world generation?\",\"answer\":\"It uses an autoregressive model to synthesize future visual states conditioned on the current world state and user actions. The framework supports open-ended real-time interaction, including navigation and actions like combat, spell casting, and monster summoning.\"},{\"question\":\"What key challenges does the paper identify for playable long-horizon world modeling?\",\"answer\":\"The paper highlights four challenges: control (how open-ended navigation and actions are), consistency (spatial/temporal coherence and physically plausible dynamics), stability (avoiding long-horizon visual drift), and runtime (achieving real-time generation with low latency).\"}]",1784192780,38,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":27},"alayaworld-long-horizon-and-playable-video-world-world-generation","",{"@graph":35,"@context":85},[36,53,68],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/alayaworld-long-horizon-and-playable-video-world-world-generation/84098/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-27","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":11},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the AlayaWorld approach address compared with traditional game world production?","Question",{"text":75,"@type":76},"Traditional pipelines require explicitly authoring objects, animations, rules, and interactions, making worlds costly and difficult to change after deployment. AlayaWorld targets this by using video world models to synthesize future observations conditioned on user interactions rather than manually constructing everything upfront.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does AlayaWorld enable playable, interactive video world generation?",{"text":80,"@type":76},"It uses an autoregressive model to synthesize future visual states conditioned on the current world state and user actions. The framework supports open-ended real-time interaction, including navigation and actions like combat, spell casting, and monster summoning.",{"name":82,"@type":73,"acceptedAnswer":83},"What key challenges does the paper identify for playable long-horizon world modeling?",{"text":84,"@type":76},"The paper highlights four challenges: control (how open-ended navigation and actions are), consistency (spatial/temporal coherence and physically plausible dynamics), stability (avoiding long-horizon visual drift), and runtime (achieving real-time generation with low latency).","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":45,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":45,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":45,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":45,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":45,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":45,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":45,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]