{"id":"https://openalex.org/W7128475858","doi":"https://doi.org/10.48550/arxiv.2602.09016","title":"Raster2Seq: Polygon Sequence Generation for Floorplan Reconstruction","display_name":"Raster2Seq: Polygon Sequence Generation for Floorplan Reconstruction","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128475858","doi":"https://doi.org/10.48550/arxiv.2602.09016"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.09016","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061660905","display_name":"Hao Phung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phung, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043669878","display_name":"Hadar Averbuch\u2010Elor","orcid":"https://orcid.org/0000-0003-3476-0940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Averbuch-Elor, Hadar","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15572342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5306000113487244,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5306000113487244,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.12349999696016312,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.07450000196695328,"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/floorplan","display_name":"Floorplan","score":0.9239000082015991},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4487000107765198},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4447000026702881},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3246999979019165},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.3239000141620636}],"concepts":[{"id":"https://openalex.org/C130145326","wikidata":"https://www.wikidata.org/wiki/Q1553985","display_name":"Floorplan","level":2,"score":0.9239000082015991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5766000151634216},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5314000248908997},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4487000107765198},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4447000026702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429500013589859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39160001277923584},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25760000944137573},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C103275481","wikidata":"https://www.wikidata.org/wiki/Q6787889","display_name":"Matrix representation","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.09016","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.09016","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.09016","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":"pmh:doi:10.48550/arxiv.2602.09016","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6982975602149963,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"a":[1,6,51,67],"structured":[2],"vector-graphics":[3],"representation":[4],"from":[5,113],"rasterized":[7],"floorplan":[8,64,72],"image":[9,105,122,136],"is":[10],"typically":[11],"an":[12,93],"important":[13],"prerequisite":[14],"for":[15,126,152],"computational":[16],"tasks":[17],"involving":[18],"floorplans":[19,41,156],"such":[20,172],"as":[21,66,74,80,173],"automated":[22],"understanding":[23],"or":[24],"CAD":[25],"workflows.":[26],"However,":[27],"existing":[28],"techniques":[29],"struggle":[30],"in":[31,70,121,147],"faithfully":[32],"generating":[33],"the":[34,100,129,140,148],"structure":[35],"and":[36,50,77,88,107,160,176,194],"semantics":[37],"conveyed":[38],"by":[39],"complex":[40,155,195],"that":[42,84,96],"depict":[43],"large":[44],"indoor":[45],"spaces":[46],"with":[47,157],"many":[48],"rooms":[49,159],"varying":[52],"numbers":[53],"of":[54],"polygon":[55,82,162],"corners.":[56],"To":[57],"this":[58],"end,":[59],"we":[60],"propose":[61],"Raster2Seq,":[62],"framing":[63],"reconstruction":[65],"sequence-to-sequence":[68],"task":[69],"which":[71,189],"elements--such":[73],"rooms,":[75],"windows,":[76],"doors--are":[78],"represented":[79],"labeled":[81],"sequences":[83],"jointly":[85],"encode":[86],"geometry":[87],"semantics.":[89],"Our":[90,164],"approach":[91],"introduces":[92],"autoregressive":[94,141],"decoder":[95],"learns":[97],"to":[98,132,183],"predict":[99],"next":[101],"corner":[102],"conditioned":[103],"on":[104,134,169],"features":[106],"previously":[108],"generated":[109],"corners":[110],"using":[111],"guidance":[112],"learnable":[114],"anchors.":[115],"These":[116],"anchors":[117],"represent":[118],"spatial":[119],"coordinates":[120],"space,":[123],"hence":[124],"allowing":[125],"effectively":[127],"directing":[128],"attention":[130],"mechanism":[131],"focus":[133],"informative":[135],"regions.":[137],"By":[138],"embracing":[139],"mechanism,":[142],"our":[143],"method":[144,165],"offers":[145],"flexibility":[146],"output":[149],"format,":[150],"enabling":[151],"efficiently":[153],"handling":[154],"numerous":[158],"diverse":[161,191],"structures.":[163],"achieves":[166],"state-of-the-art":[167],"performance":[168],"standard":[170],"benchmarks":[171],"Structure3D,":[174],"CubiCasa5K,":[175],"Raster2Graph,":[177],"while":[178],"also":[179],"demonstrating":[180],"strong":[181],"generalization":[182],"more":[184],"challenging":[185],"datasets":[186],"like":[187],"WAFFLE,":[188],"contain":[190],"room":[192],"structures":[193],"geometric":[196],"variations.":[197]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-11T00:00:00"}
