{"id":"https://openalex.org/W7147707586","doi":"https://doi.org/10.48550/arxiv.2603.28493","title":"ConceptWeaver: Weaving Disentangled Concepts with Flow","display_name":"ConceptWeaver: Weaving Disentangled Concepts with Flow","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7147707586","doi":"https://doi.org/10.48550/arxiv.2603.28493"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.28493","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28493","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.28493","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132583139","display_name":"Jintao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Jintao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110806029","display_name":"Aiming Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Aiming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132627463","display_name":"Xiaoqing Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiaoqing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125425170","display_name":"Chengyu Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Chengyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121788068","display_name":"Chubin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Chubin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025718258","display_name":"Yanxun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yanxun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132603588","display_name":"Jiahong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jiahong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132654312","display_name":"Xiangxiang Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Xiangxiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132698373","display_name":"Shanghang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shanghang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5132583139"],"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":0.8964999914169312,"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":0.8964999914169312,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.013799999840557575,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.013700000010430813,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generative-grammar","display_name":"Generative grammar","score":0.7372999787330627},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6549000144004822},{"id":"https://openalex.org/keywords/weaving","display_name":"Weaving","score":0.651199996471405},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6150000095367432},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5809000134468079},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5047000050544739},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4537999927997589},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4293000102043152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422999739646912},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7372999787330627},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6549000144004822},{"id":"https://openalex.org/C54525549","wikidata":"https://www.wikidata.org/wiki/Q2553445","display_name":"Weaving","level":2,"score":0.651199996471405},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6150000095367432},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5809000134468079},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4537999927997589},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4120999872684479},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3147999942302704},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2955000102519989}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.28493","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28493","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.28493","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28493","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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5465338826179504,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pre-trained":[0],"flow-based":[1],"models":[2,189],"excel":[3],"at":[4,162],"synthesizing":[5],"complex":[6],"scenes":[7],"yet":[8],"lack":[9],"a":[10,31,55,79,116,128,133],"direct":[11],"mechanism":[12],"for":[13,98,118],"disentangling":[14],"and":[15,38,90,176,181],"customizing":[16],"their":[17],"underlying":[18],"concepts":[19,85],"from":[20,127],"one-shot":[21,119],"real-world":[22],"sources.":[23],"To":[24],"demystify":[25],"this":[26,111],"process,":[27],"we":[28,113],"first":[29],"introduce":[30],"novel":[32,153],"differential":[33],"probing":[34],"technique":[35],"to":[36,192],"isolate":[37],"analyze":[39],"the":[40,47,58,140,163,183],"influence":[41],"of":[42,187],"individual":[43],"concept":[44,120],"tokens":[45],"on":[46],"velocity":[48],"field":[49],"over":[50],"time.":[51],"This":[52],"investigation":[53],"yields":[54],"critical":[56],"insight:":[57],"generative":[59,165],"process":[60],"is":[61,190],"not":[62],"monolithic":[63],"but":[64],"unfolds":[65],"in":[66],"three":[67],"distinct":[68],"stages.":[69],"An":[70],"initial":[71],"\\textbf{Blueprint":[72],"Stage}":[73,82],"establishes":[74],"low-frequency":[75],"structure,":[76],"followed":[77],"by":[78,110],"pivotal":[80],"\\textbf{Instantiation":[81],"where":[83],"content":[84,196],"emerge":[86],"with":[87,139],"peak":[88],"intensity":[89],"become":[91],"naturally":[92],"disentangled,":[93],"creating":[94],"an":[95],"optimal":[96],"window":[97],"manipulation.":[99,197],"A":[100],"final":[101],"concept-insensitive":[102],"refinement":[103],"stage":[104],"then":[105,147],"synthesizes":[106],"fine-grained":[107],"details.":[108],"Guided":[109],"discovery,":[112],"propose":[114],"\\textbf{ConceptWeaver},":[115],"framework":[117],"disentanglement.":[121],"ConceptWeaver":[122,154,171],"learns":[123],"concept-specific":[124],"semantic":[125],"offsets":[126,145],"single":[129],"reference":[130],"image":[131],"using":[132],"stage-aware":[134],"optimization":[135],"strategy":[136],"that":[137,170,179],"aligns":[138],"three-stage":[141],"framework.":[142],"These":[143],"learned":[144],"are":[146],"deployed":[148],"during":[149],"inference":[150],"via":[151],"our":[152],"Guidance":[155],"(CWG)":[156],"mechanism,":[157],"which":[158],"strategically":[159],"injects":[160],"them":[161],"appropriate":[164],"stage.":[166],"Extensive":[167],"experiments":[168],"validate":[169],"enables":[172],"high-fidelity,":[173],"compositional":[174],"synthesis":[175],"editing,":[177],"demonstrating":[178],"understanding":[180],"leveraging":[182],"intrinsic,":[184],"staged":[185],"nature":[186],"flow":[188],"key":[191],"unlocking":[193],"precise,":[194],"multi-granularity":[195]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}
