{"id":"https://openalex.org/W7140205652","doi":"https://doi.org/10.48550/arxiv.2603.21136","title":"MS-CustomNet: Controllable Multi-Subject Customization with Hierarchical Relational Semantics","display_name":"MS-CustomNet: Controllable Multi-Subject Customization with Hierarchical Relational Semantics","publication_year":2026,"publication_date":"2026-03-22","ids":{"openalex":"https://openalex.org/W7140205652","doi":"https://doi.org/10.48550/arxiv.2603.21136"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21136","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21136","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2603.21136","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Cai, Pengxiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Pengxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Li, Mengyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Mengyang","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7264000177383423,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7264000177383423,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.06930000334978104,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.05730000138282776,"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/personalization","display_name":"Personalization","score":0.755299985408783},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6126000285148621},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6025999784469604},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5669999718666077},{"id":"https://openalex.org/keywords/hierarchical-control-system","display_name":"Hierarchical control system","score":0.4399000108242035},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.3192000091075897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760200023651123},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.755299985408783},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6126000285148621},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6025999784469604},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5669999718666077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4666000008583069},{"id":"https://openalex.org/C124527596","wikidata":"https://www.wikidata.org/wiki/Q17029359","display_name":"Hierarchical control system","level":3,"score":0.4399000108242035},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3950999975204468},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2678999900817871}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21136","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21136","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21136","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21136","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diffusion-based":[0],"text-to-image":[1],"generation":[2],"has":[3],"advanced":[4],"significantly,":[5],"yet":[6],"customizing":[7],"scenes":[8],"with":[9,151],"multiple":[10,58],"distinct":[11],"subjects":[12],"while":[13,85],"maintaining":[14],"fine-grained":[15,113],"control":[16,30,114,138],"over":[17,31,115],"their":[18],"interactions":[19],"remains":[20],"challenging.":[21],"Existing":[22],"methods":[23],"often":[24],"struggle":[25],"to":[26,65,102],"provide":[27],"explicit":[28],"user-defined":[29],"the":[32,75,96],"compositional":[33],"structure":[34],"and":[35,71,87,130,156],"precise":[36],"spatial":[37,72,157],"relationships":[38],"between":[39],"subjects.":[40],"To":[41],"address":[42],"this,":[43],"we":[44],"introduce":[45],"MS-CustomNet,":[46],"a":[47,122,131],"novel":[48],"framework":[49],"for":[50,127,136],"multi-subject":[51,108,116,140,154],"customization.":[52],"MS-CustomNet":[53,110],"allows":[54],"zero-shot":[55],"integration":[56],"of":[57,125,134],"user-provided":[59],"objects":[60],"and,":[61],"crucially,":[62],"empowers":[63],"users":[64],"explicitly":[66],"define":[67],"these":[68,89],"hierarchical":[69],"arrangements":[70],"placements":[73],"within":[74],"generated":[76],"image.":[77],"Our":[78,119],"approach":[79],"ensures":[80],"individual":[81],"subject":[82],"identity":[83,128],"preservation":[84,129],"learning":[86],"enacting":[88],"user-specified":[90],"inter-subject":[91],"compositions.":[92,109],"We":[93],"also":[94],"present":[95],"MSI":[97],"dataset,":[98],"derived":[99],"from":[100],"COCO,":[101],"facilitate":[103],"training":[104],"on":[105],"such":[106],"complex":[107],"offers":[111],"enhanced,":[112],"image":[117],"generation.":[118],"method":[120],"achieves":[121],"DINO-I":[123],"score":[124,133],"0.61":[126],"YOLO-L":[132],"0.94":[135],"positional":[137],"in":[139,147],"customization":[141],"tasks,":[142],"demonstrating":[143],"its":[144],"superior":[145],"capability":[146],"generating":[148],"high-fidelity":[149],"images":[150],"precise,":[152],"user-directed":[153],"compositions":[155],"control.":[158]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-25T00:00:00"}