{"id":"https://openalex.org/W7110220520","doi":"https://doi.org/10.1145/3757377.3763988","title":"The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion","display_name":"The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7110220520","doi":"https://doi.org/10.1145/3757377.3763988"},"language":null,"primary_location":{"id":"doi:10.1145/3757377.3763988","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3757377.3763988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Conference Papers","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":null,"display_name":"Bang Gong","orcid":"https://orcid.org/0009-0006-2117-8387"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bang Gong","raw_affiliation_strings":["University of North Carolina at Chapel Hill (UNC), Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill (UNC), Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Luchao Qi","orcid":"https://orcid.org/0000-0002-3192-4746"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luchao Qi","raw_affiliation_strings":["University of North Carolina at Chapel Hill (UNC), Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill (UNC), Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiaye Wu","orcid":"https://orcid.org/0009-0006-6634-6575"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaye Wu","raw_affiliation_strings":["University of Maryland College Park, College Park, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland College Park, College Park, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhicheng Fu","orcid":"https://orcid.org/0000-0002-6915-0491"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Fu","raw_affiliation_strings":["Lenovo, Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Lenovo, Chicago, USA","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chunbo Song","orcid":"https://orcid.org/0000-0001-6775-5553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunbo Song","raw_affiliation_strings":["Lenovo, Morrisville, USA"],"affiliations":[{"raw_affiliation_string":"Lenovo, Morrisville, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"John Nicholson","orcid":"https://orcid.org/0009-0005-3193-9082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Nicholson","raw_affiliation_strings":["Lenovo, Morrisville, USA"],"affiliations":[{"raw_affiliation_string":"Lenovo, Morrisville, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Roni Sengupta","orcid":"https://orcid.org/0009-0001-5357-0563"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roni Sengupta","raw_affiliation_strings":["University of North Carolina at Chapel Hill (UNC), Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill (UNC), Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":1.3688,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87222347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.5188000202178955,"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/T11448","display_name":"Face recognition and analysis","score":0.5188000202178955,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.3294000029563904,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.031099999323487282,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/identity","display_name":"Identity (music)","score":0.5242000222206116},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4927999973297119},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4187000095844269},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.40560001134872437},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.358599990606308},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.328000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818000078201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424000024795532},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5242000222206116},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4927999973297119},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.328000009059906},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.28290000557899475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C118820876","wikidata":"https://www.wikidata.org/wiki/Q4672283","display_name":"Accelerated aging","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C3017819807","wikidata":"https://www.wikidata.org/wiki/Q332154","display_name":"Healthy aging","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3757377.3763988","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3757377.3763988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W3003301247","https://openalex.org/W3026885507","https://openalex.org/W3035574324","https://openalex.org/W3121370741","https://openalex.org/W3166898278","https://openalex.org/W3173366159","https://openalex.org/W3181462058","https://openalex.org/W3183804329","https://openalex.org/W4214926101","https://openalex.org/W4287029626","https://openalex.org/W4297676498","https://openalex.org/W4313021461","https://openalex.org/W4313035047","https://openalex.org/W4385527149","https://openalex.org/W4386076215","https://openalex.org/W4386076532","https://openalex.org/W4386113271","https://openalex.org/W4390873195","https://openalex.org/W4390874775","https://openalex.org/W4392538976","https://openalex.org/W4392970247","https://openalex.org/W4393157170","https://openalex.org/W4400527815","https://openalex.org/W4402716016","https://openalex.org/W4402753991","https://openalex.org/W4404405001","https://openalex.org/W4404649470","https://openalex.org/W4404985425","https://openalex.org/W4405312428","https://openalex.org/W4405355473"],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"the":[2,119],"Aging":[3,81],"Multiverse,":[4],"a":[5,15,36,55,79,126],"framework":[6],"for":[7,114],"generating":[8],"multiple":[9],"plausible":[10],"facial":[11],"aging":[12,34,44,98,124],"trajectories":[13],"from":[14],"single":[16,37],"image,":[17],"each":[18],"conditioned":[19],"on":[20],"external":[21],"factors":[22],"such":[23],"as":[24,35],"environment,":[25],"health,":[26],"and":[27,65,78,89,100,106,129,138,146],"lifestyle.":[28],"Unlike":[29],"prior":[30],"methods":[31],"that":[32,46,59],"model":[33],"deterministic":[38],"path,":[39],"our":[40,132],"approach":[41,133],"creates":[42],"an":[43],"tree":[45],"visualizes":[47],"diverse":[48],"futures.":[49],"To":[50],"enable":[51],"this,":[52],"we":[53],"propose":[54],"training-free":[56],"diffusion-based":[57],"method":[58],"balances":[60],"identity":[61,96],"preservation,":[62,97],"age":[63],"accuracy,":[64],"condition":[66],"control.":[67],"Our":[68],"key":[69],"contributions":[70],"include":[71],"attention":[72],"mixing":[73],"to":[74,84,112],"modulate":[75],"editing":[76,105,120],"strength":[77],"Simulated":[80],"Regularization":[82],"strategy":[83],"stabilize":[85],"edits.":[86],"Extensive":[87],"experiments":[88],"user":[90],"studies":[91],"demonstrate":[92],"state-of-the-art":[93],"performance":[94],"across":[95],"realism,":[99],"conditional":[101],"alignment,":[102],"outperforming":[103],"existing":[104],"age-progression":[107],"models,":[108],"which":[109],"often":[110],"fail":[111],"account":[113],"one":[115],"or":[116],"more":[117],"of":[118],"criteria.":[121],"By":[122],"transforming":[123],"into":[125],"multi-dimensional,":[127],"controllable,":[128],"interpretable":[130],"process,":[131],"opens":[134],"up":[135],"new":[136],"creative":[137],"practical":[139],"avenues":[140],"in":[141],"digital":[142],"storytelling,":[143],"health":[144],"education,":[145],"personalized":[147],"visualization.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2025-12-08T00:00:00"}
