{"id":"https://openalex.org/W7159685154","doi":"https://doi.org/10.48550/arxiv.2604.27578","title":"World2Minecraft: Occupancy-Driven Simulated Scenes Construction","display_name":"World2Minecraft: Occupancy-Driven Simulated Scenes Construction","publication_year":2026,"publication_date":"2026-04-30","ids":{"openalex":"https://openalex.org/W7159685154","doi":"https://doi.org/10.48550/arxiv.2604.27578"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.27578","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27578","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.27578","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134964782","display_name":"Lechao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lechao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134944700","display_name":"Haoran Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Haoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134957997","display_name":"Jingyu Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Jingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134937999","display_name":"Xuhong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xuhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134932319","display_name":"Yuan Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134931165","display_name":"Xin Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8039000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8039000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.03920000046491623,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.017999999225139618,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7330999970436096},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4970000088214874},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.41280001401901245},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4097000062465668},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3846000134944916},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.36230000853538513},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3203999996185303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559999823570251},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7330999970436096},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4970000088214874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44519999623298645},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.41280001401901245},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.36230000853538513},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34869998693466187},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31839999556541443},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.27578","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27578","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.27578","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27578","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Embodied":[0],"intelligence":[1],"requires":[2],"high-fidelity":[3],"simulation":[4],"environments":[5,35],"to":[6,28,123,131,138],"support":[7],"perception":[8],"and":[9,19,74,85,95,126,142,152],"decision-making,":[10],"yet":[11],"existing":[12,78,124],"platforms":[13],"often":[14],"suffer":[15],"from":[16,107],"data":[17,72,87],"contamination":[18],"limited":[20,70],"flexibility.":[21],"To":[22],"mitigate":[23],"this,":[24],"we":[25,46,57],"propose":[26],"World2Minecraft":[27,147],"convert":[29],"real-world":[30],"scenes":[31],"into":[32],"structured":[33],"Minecraft":[34],"based":[36],"on":[37,64],"3D":[38],"semantic":[39],"occupancy":[40,66,93,140],"prediction.":[41],"In":[42],"the":[43,144],"reconstructed":[44],"scenes,":[45],"can":[47],"effortlessly":[48],"perform":[49],"downstream":[50],"tasks":[51],"such":[52],"as":[53],"Vision-Language":[54],"Navigation(VLN).":[55],"However,":[56],"observe":[58],"that":[59,116],"reconstruction":[60],"quality":[61],"heavily":[62],"depends":[63],"accurate":[65],"prediction,":[67],"which":[68],"remains":[69],"by":[71],"scarcity":[73],"poor":[75],"generalization":[76],"in":[77,148],"models.":[79],"We":[80],"introduce":[81],"a":[82,101,120,128,150],"low-cost,":[83],"automated,":[84],"scalable":[86],"acquisition":[88],"pipeline":[89],"for":[90,155],"creating":[91],"customized":[92],"datasets,":[94],"demonstrate":[96],"its":[97],"effectiveness":[98],"through":[99],"MinecraftOcc,":[100],"large-scale":[102],"dataset":[103,118],"featuring":[104],"100,165":[105],"images":[106],"156":[108],"richly":[109],"detailed":[110],"indoor":[111],"scenes.":[112],"Extensive":[113],"experiments":[114],"show":[115],"our":[117],"provides":[119],"critical":[121],"complement":[122],"datasets":[125],"poses":[127],"significant":[129],"challenge":[130],"current":[132],"SOTA":[133],"methods.":[134],"These":[135],"findings":[136],"contribute":[137],"improving":[139],"prediction":[141],"highlight":[143],"value":[145],"of":[146],"providing":[149],"customizable":[151],"editable":[153],"platform":[154],"personalized":[156],"embodied":[157],"AI":[158],"research.":[159],"Project":[160],"page:https://world2minecraft.github.io/.":[161]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-02T00:00:00"}
