{"id":"https://openalex.org/W4413944822","doi":"https://doi.org/10.1109/icra55743.2025.11128056","title":"Dual-Conditioned Temporal Diffusion Modeling for Driving Scene Generation","display_name":"Dual-Conditioned Temporal Diffusion Modeling for Driving Scene Generation","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413944822","doi":"https://doi.org/10.1109/icra55743.2025.11128056"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11128056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103198696","display_name":"Xiangyu Bai","orcid":"https://orcid.org/0009-0005-9409-5518"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiangyu Bai","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864657","display_name":"Yedi Luo","orcid":"https://orcid.org/0009-0004-7392-480X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yedi Luo","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550519","display_name":"Le Jiang","orcid":"https://orcid.org/0000-0002-5934-0865"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Jiang","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031787107","display_name":"Sarah Ostadabbas","orcid":"https://orcid.org/0000-0002-2216-9988"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Ostadabbas","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103198696"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38479241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8412","last_page":"8419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.8003000020980835,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.8003000020980835,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.7325000166893005,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.6707000136375427,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6367601752281189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6348915696144104},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5846216082572937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3898300528526306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36734363436698914},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33509498834609985},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11325728893280029}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6367601752281189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348915696144104},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5846216082572937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3898300528526306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36734363436698914},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33509498834609985},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11325728893280029},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11128056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2146881125","https://openalex.org/W2150066425","https://openalex.org/W2183341477","https://openalex.org/W2340897893","https://openalex.org/W2531409750","https://openalex.org/W2615547864","https://openalex.org/W2909908358","https://openalex.org/W2955544543","https://openalex.org/W2967918518","https://openalex.org/W3043971245","https://openalex.org/W3129245057","https://openalex.org/W3156216502","https://openalex.org/W3198790326","https://openalex.org/W3215048956","https://openalex.org/W4283333203","https://openalex.org/W4292793911","https://openalex.org/W4312933868","https://openalex.org/W4312936768","https://openalex.org/W4375868929","https://openalex.org/W4385801502","https://openalex.org/W4386065764","https://openalex.org/W4386071957","https://openalex.org/W4387195417","https://openalex.org/W4388930611","https://openalex.org/W4390235561","https://openalex.org/W4390872556","https://openalex.org/W4390873054","https://openalex.org/W4390873135","https://openalex.org/W4402727228","https://openalex.org/W4402727858","https://openalex.org/W4402753569","https://openalex.org/W4402754016","https://openalex.org/W4412446545"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Diffusion":[0,57],"models":[1,45,112],"have":[2],"proven":[3],"effective":[4],"at":[5],"generating":[6],"high-quality":[7],"images":[8],"from":[9],"learned":[10],"distributions,":[11],"but":[12],"their":[13],"application":[14],"to":[15,46,67,121],"the":[16,54],"temporal":[17,69],"domain,":[18],"especially":[19],"for":[20],"driving":[21,50,82,118],"scenarios,":[22],"remains":[23],"underexplored.":[24],"Our":[25],"work":[26],"addresses":[27],"key":[28],"challenges":[29],"in":[30,127],"existing":[31],"simulations,":[32],"such":[33],"as":[34],"limited":[35],"data":[36],"quality,":[37],"diversity,":[38],"and":[39,92,129],"high":[40],"costs,":[41],"by":[42,71,113],"extending":[43],"diffusion":[44,111],"generate":[47],"realistic":[48],"long":[49],"videos.":[51],"We":[52,96],"introduce":[53],"Dualconditioned":[55],"Temporal":[56],"Model":[58],"(DcTDM),":[59],"an":[60],"opensource":[61],"method":[62],"that":[63],"incorporates":[64],"dual":[65],"conditioning":[66],"enforce":[68],"consistency":[70,128],"guiding":[72],"frame":[73,130],"transitions.":[74],"Alongside":[75],"DcTDM,":[76],"we":[77],"present":[78],"DriveSceneDDM,":[79],"a":[80],"comprehensive":[81],"video":[83,101,110],"dataset":[84],"featuring":[85],"textual":[86],"scene":[87],"descriptions,":[88],"dense":[89],"depth":[90],"maps,":[91],"canny":[93],"edge":[94],"data.":[95],"evaluate":[97],"DcTDM":[98],"using":[99],"common":[100],"quality":[102],"metrics,":[103],"demonstrating":[104],"its":[105],"superior":[106],"performance":[107],"over":[108,124],"other":[109],"producing":[114],"long,":[115],"temporally":[116],"consistent":[117],"videos":[119],"up":[120],"40s,":[122],"achieving":[123],"25%":[125],"improvement":[126],"quality.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
