{"id":"https://openalex.org/W7154975364","doi":"https://doi.org/10.1109/access.2026.3685358","title":"Adaptive Complex Region Perception for Pose-Guided Image Generation","display_name":"Adaptive Complex Region Perception for Pose-Guided Image Generation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154975364","doi":"https://doi.org/10.1109/access.2026.3685358"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3685358","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685358","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3685358","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100443271","display_name":"Yuhang Li","orcid":"https://orcid.org/0000-0002-3090-804X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Li","raw_affiliation_strings":["1School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mubai Li","orcid":"https://orcid.org/0009-0001-6655-284X"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mubai Li","raw_affiliation_strings":["2School of Artificial Intelligence, Huanghe Jiaotong University, Jiaozuo, China"],"raw_orcid":"https://orcid.org/0009-0001-6655-284X","affiliations":[{"raw_affiliation_string":"2School of Artificial Intelligence, Huanghe Jiaotong University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134024584","display_name":"Haotian Yang","orcid":"https://orcid.org/0000-0002-2116-1319"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Haotian Yang","raw_affiliation_strings":["4Faculty of Data Science, City University of Macau, Macau, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-2116-1319","affiliations":[{"raw_affiliation_string":"4Faculty of Data Science, City University of Macau, Macau, SAR, China","institution_ids":["https://openalex.org/I6469544"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4471733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"62792","last_page":"62802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.4300999939441681,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.4300999939441681,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.08510000258684158,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.07010000199079514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5726000070571899},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4050999879837036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39419999718666077},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.34439998865127563},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3400999903678894}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7458999752998352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458999752998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.737500011920929},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4050999879837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3400999903678894},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3685358","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685358","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b4c9579042b14f089309da9b19b52568","is_oa":true,"landing_page_url":"https://doaj.org/article/b4c9579042b14f089309da9b19b52568","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 62792-62802 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3685358","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3685358","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6232258081436157,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pose-guided":[0],"image":[1,101,204],"generation":[2,142,211],"aims":[3],"to":[4,71,141,209],"generate":[5],"realistic":[6],"images":[7],"based":[8],"on":[9,153,223,239],"a":[10,84,161,170],"reference":[11,203],"appearance":[12],"and":[13,24,40,125,135,175,197,227,233,258],"target":[14,110],"pose.":[15],"However,":[16],"existing":[17,54,249],"methods":[18,55],"often":[19],"suffer":[20],"from":[21,49],"structural":[22],"distortion":[23],"texture":[25],"degradation":[26],"in":[27,108,201,252],"visually":[28,137],"complex":[29,60,76,138,184,259],"regions,":[30,158],"such":[31],"as":[32],"intricate":[33],"clothing":[34],"textures,":[35],"text,":[36],"sentences,":[37],"skin":[38],"tattoos,":[39],"pose-interactive":[41],"regions.":[42,61,77,185],"We":[43],"argue":[44],"that":[45,246],"these":[46,157],"shortcomings":[47],"stem":[48],"two":[50,115],"fundamental":[51],"limitations.":[52],"First,":[53,131],"lack":[56],"precise":[57],"perception":[58],"of":[59,114,148,172,181],"Second,":[62],"feature":[63,179],"allocation":[64],"using":[65],"attention":[66],"mechanisms":[67],"remains":[68],"too":[69],"coarse-grained":[70],"effectively":[72],"model":[73],"adaptively":[74,104,133],"extracted":[75],"To":[78,213],"address":[79],"this":[80],"issue,":[81],"we":[82,159,189,218],"propose":[83],"novel":[85],"framework":[86],"called":[87],"\"":[88],"\"Adaptive":[89],"Complex":[90,120],"Region":[91,121],"Perception":[92,122],"for":[93],"Pose-Guided":[94],"Image":[95],"Generation\"":[96],"(ACRP-Gen),":[97],"which":[98],"improves":[99],"overall":[100],"quality":[102,143],"by":[103,178,236],"locating":[105],"\"complex":[106],"regions\"":[107],"the":[109,118,126,149,182,191,194,202,206,215,224,240],"image.":[111,151],"ACRP-Gen":[112,247],"consists":[113],"key":[116],"components:":[117],"Adaptive":[119],"Module":[123],"(ACRP)":[124],"Region-Aware":[127,162],"Pose-Conditioned":[128],"Generator":[129,165],"(RPCG).":[130,166],"ACRP":[132],"identifies":[134],"locates":[136],"regions":[139],"crucial":[140],"through":[144],"high-level":[145],"visual":[146],"understanding":[147],"input":[150],"Based":[152],"prior":[154],"information":[155],"about":[156],"design":[160],"Pose":[163],"Conditional":[164],"This":[167],"module":[168],"achieves":[169],"unification":[171],"local":[173],"details":[174],"global":[176],"structure":[177],"modulation":[180],"perceived":[183],"Furthermore,":[186],"during":[187],"training,":[188],"incorporate":[190],"consistency":[192],"between":[193],"generated":[195],"pose":[196,200],"its":[198,231],"corresponding":[199],"into":[205],"loss":[207],"function":[208],"improve":[210],"quality.":[212],"validate":[214],"model\u2019s":[216],"effectiveness,":[217],"first":[219],"conducted":[220],"extensive":[221],"experiments":[222],"DeepFashion":[225],"dataset,":[226],"then":[228],"further":[229],"verified":[230],"robustness":[232],"generalization":[234],"ability":[235],"evaluating":[237],"it":[238],"UBC":[241],"dataset.":[242],"Experimental":[243],"results":[244],"show":[245],"outperforms":[248],"methods,":[250],"especially":[251],"challenging":[253],"scenarios":[254],"with":[255],"diverse":[256],"materials":[257],"scenes.":[260]},"counts_by_year":[],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2026-04-21T00:00:00"}
