{"id":"https://openalex.org/W4226164924","doi":"https://doi.org/10.48550/arxiv.2204.02960","title":"Simple and Effective Synthesis of Indoor 3D Scenes","display_name":"Simple and Effective Synthesis of Indoor 3D Scenes","publication_year":2022,"publication_date":"2022-04-06","ids":{"openalex":"https://openalex.org/W4226164924","doi":"https://doi.org/10.48550/arxiv.2204.02960"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2204.02960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.02960","pdf_url":"https://arxiv.org/pdf/2204.02960","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.02960","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009550511","display_name":"Jing Yu Koh","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Koh, Jing Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072335131","display_name":"Harsh Agrawal","orcid":"https://orcid.org/0000-0003-4147-5953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agrawal, Harsh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014035752","display_name":"Dhruv Batra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Batra, Dhruv","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043033990","display_name":"Richard P. Tucker","orcid":"https://orcid.org/0000-0001-8552-5401"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tucker, Richard","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053436903","display_name":"Austin R. Waters","orcid":"https://orcid.org/0000-0002-9947-8535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waters, Austin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108652283","display_name":"Honglak Lee","orcid":"https://orcid.org/0000-0002-1279-0068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Honglak","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112656212","display_name":"Yinfei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yinfei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048931310","display_name":"Jason Baldridge","orcid":"https://orcid.org/0000-0002-4712-1841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baldridge, Jason","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020382873","display_name":"Peter Anderson","orcid":"https://orcid.org/0000-0003-2491-4205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anderson, Peter","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5009550511"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965000152587891,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9951000213623047,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8056405782699585},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.7696787118911743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7131565809249878},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6518765687942505},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5842097997665405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5376037359237671},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5278059244155884},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5277850031852722},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5275235772132874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5203596949577332},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49720194935798645},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4757799208164215},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.45982980728149414},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.20232000946998596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056405782699585},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.7696787118911743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7131565809249878},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6518765687942505},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5842097997665405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5376037359237671},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5278059244155884},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5277850031852722},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5275235772132874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5203596949577332},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49720194935798645},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4757799208164215},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.45982980728149414},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.20232000946998596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2204.02960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.02960","pdf_url":"https://arxiv.org/pdf/2204.02960","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2204.02960","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2204.02960","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.02960","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.02960","pdf_url":"https://arxiv.org/pdf/2204.02960","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"We":[0,52],"study":[1],"the":[2,33,75,131,135],"problem":[3],"of":[4,65,130],"synthesizing":[5],"immersive":[6],"3D":[7,38],"indoor":[8],"scenes":[9],"from":[10,24,63],"one":[11],"or":[12],"more":[13],"images.":[14,73],"Our":[15,138],"aim":[16],"is":[17,102],"to":[18,69,125,144,151],"generate":[19],"high-resolution":[20,71],"images":[21,35],"and":[22,50,77,149,154],"videos":[23],"novel":[25],"viewpoints,":[26],"including":[27],"viewpoints":[28],"that":[29,60,99],"extrapolate":[30],"far":[31],"beyond":[32],"input":[34],"while":[36],"maintaining":[37],"consistency.":[39],"Existing":[40],"approaches":[41],"are":[42],"highly":[43],"complex,":[44],"with":[45,114],"many":[46],"separately":[47],"trained":[48,113],"stages":[49],"components.":[51],"propose":[53],"a":[54,128],"simple":[55],"alternative:":[56],"an":[57],"image-to-image":[58],"GAN":[59],"maps":[61],"directly":[62],"reprojections":[64],"incomplete":[66],"point":[67],"clouds":[68],"full":[70],"RGB-D":[72],"On":[74],"Matterport3D":[76],"RealEstate10K":[78],"datasets,":[79],"our":[80,100,118],"approach":[81],"significantly":[82],"outperforms":[83],"prior":[84],"work":[85],"when":[86],"evaluated":[87],"by":[88,117,123],"humans,":[89],"as":[90,92],"well":[91],"on":[93,134],"FID":[94],"scores.":[95],"Further,":[96],"we":[97],"show":[98],"model":[101,119],"useful":[103],"for":[104],"generative":[105,146],"data":[106,147],"augmentation.":[107],"A":[108],"vision-and-language":[109],"navigation":[110],"(VLN)":[111],"agent":[112],"trajectories":[115],"spatially-perturbed":[116],"improves":[120],"success":[121],"rate":[122],"up":[124],"1.5%":[126],"over":[127],"state":[129],"art":[132],"baseline":[133],"R2R":[136],"benchmark.":[137],"code":[139],"will":[140],"be":[141],"made":[142],"available":[143],"facilitate":[145],"augmentation":[148],"applications":[150],"downstream":[152],"robotics":[153],"embodied":[155],"AI":[156],"tasks.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
