{"id":"https://openalex.org/W4413945694","doi":"https://doi.org/10.1109/icra55743.2025.11127765","title":"COIGAN: Controllable Object Inpainting Through Generative Adversarial Network for Defect Synthesis in Data Augmentation","display_name":"COIGAN: Controllable Object Inpainting Through Generative Adversarial Network for Defect Synthesis in Data Augmentation","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413945694","doi":"https://doi.org/10.1109/icra55743.2025.11127765"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127765","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/A5119524621","display_name":"Massimiliano Biancucci","orcid":null},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Massimiliano Biancucci","raw_affiliation_strings":["Università Politecnica delle Marche,Italy"],"affiliations":[{"raw_affiliation_string":"Università Politecnica delle Marche,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066013158","display_name":"Alessandro Galdelli","orcid":"https://orcid.org/0000-0002-4140-6424"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Galdelli","raw_affiliation_strings":["Università Politecnica delle Marche,Italy"],"affiliations":[{"raw_affiliation_string":"Università Politecnica delle Marche,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064999927","display_name":"Gagan Narang","orcid":"https://orcid.org/0000-0001-9053-0758"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gagan Narang","raw_affiliation_strings":["Università Politecnica delle Marche,Italy"],"affiliations":[{"raw_affiliation_string":"Università Politecnica delle Marche,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080667829","display_name":"Rocco Pietrini","orcid":"https://orcid.org/0000-0003-4343-7555"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rocco Pietrini","raw_affiliation_strings":["Università Politecnica delle Marche,Italy"],"affiliations":[{"raw_affiliation_string":"Università Politecnica delle Marche,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083358549","display_name":"Adriano Mancini","orcid":"https://orcid.org/0000-0001-5281-9200"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Adriano Mancini","raw_affiliation_strings":["Università Politecnica delle Marche,Italy"],"affiliations":[{"raw_affiliation_string":"Università Politecnica delle Marche,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043094333","display_name":"Primo Zingaretti","orcid":"https://orcid.org/0000-0002-5709-2159"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Primo Zingaretti","raw_affiliation_strings":["Università Politecnica delle Marche,Italy"],"affiliations":[{"raw_affiliation_string":"Università Politecnica delle Marche,Italy","institution_ids":["https://openalex.org/I122534668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5119524621"],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":null,"apc_paid":null,"fwci":1.3317,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85409564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9046","last_page":"9052"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9925000071525574,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9843000173568726,"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/inpainting","display_name":"Inpainting","score":0.7989179491996765},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7359480857849121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106935977935791},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6762036681175232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144342422485352},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6134122610092163},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5466943979263306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47543883323669434},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2513970732688904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21527275443077087}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7989179491996765},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7359480857849121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106935977935791},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6762036681175232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144342422485352},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6134122610092163},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5466943979263306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47543883323669434},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2513970732688904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21527275443077087}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra55743.2025.11127765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127765","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"},{"id":"pmh:oai:iris.univpm.it:11566/347760","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/abstract/document/11127765","pdf_url":null,"source":{"id":"https://openalex.org/S4306402571","display_name":"Universit\u00e0 Politecnica delle Marche (Universit\u00e0 Politecnica delle Marche)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122534668","host_organization_name":"Marche Polytechnic University","host_organization_lineage":["https://openalex.org/I122534668"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2954996726","https://openalex.org/W2962770929","https://openalex.org/W2963073614","https://openalex.org/W2963383025","https://openalex.org/W2979830539","https://openalex.org/W3006938707","https://openalex.org/W3096831136","https://openalex.org/W3120387510","https://openalex.org/W3146921739","https://openalex.org/W3199003182","https://openalex.org/W3215969524","https://openalex.org/W4200390173","https://openalex.org/W4205283523","https://openalex.org/W4225159401","https://openalex.org/W4229375598","https://openalex.org/W4295012191","https://openalex.org/W4312423208","https://openalex.org/W4320900831","https://openalex.org/W4376618710","https://openalex.org/W4385604813","https://openalex.org/W4385804900","https://openalex.org/W4387572923","https://openalex.org/W4388840685","https://openalex.org/W4390290634","https://openalex.org/W4390906511","https://openalex.org/W4400912100"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4410783345","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785"],"abstract_inverted_index":{"Predictive":[0],"maintenance":[1],"is":[2,85],"a":[3,19,63,89,111,154,191],"key":[4,117],"aspect":[5],"for":[6,150],"the":[7,83,95,98,106,131,151,176,180,185,197],"safety":[8],"of":[9,28,82,108,153,179,187,199],"critical":[10],"infrastructure":[11,214],"such":[12,120],"as":[13,121],"bridges,":[14],"dams,":[15],"and":[16,31,100,126,136,169,183],"tunnels,":[17],"where":[18],"failure":[20],"can":[21],"lead":[22],"to":[23,71,140,165,209],"catastrophic":[24],"outcomes":[25],"in":[26,35,172,196],"terms":[27],"human":[29],"lives":[30],"costs.":[32],"The":[33,80,160],"surge":[34],"Artificial":[36],"Intelligence-driven":[37],"visual":[38],"robotic":[39],"inspection":[40],"methods":[41],"necessitates":[42],"high-quality":[43],"datasets":[44,189],"containing":[45],"diverse":[46],"defect":[47,78,142,167],"classes":[48],"with":[49,190],"several":[50],"instances":[51],"on":[52],"different":[53],"conditions":[54],"(e.g.,":[55],"material,":[56],"illumination).":[57],"In":[58],"this":[59],"context,":[60],"we":[61],"introduce":[62],"Controllable":[64],"Object":[65],"Inpainting":[66],"Generative":[67],"Adversarial":[68],"Network":[69],"(COIGAN)":[70],"synthetically":[72],"generate":[73],"realistic":[74],"images":[75,133],"that":[76,130],"augment":[77],"datasets.":[79],"effectiveness":[81],"model":[84],"quantitatively":[86],"validated":[87],"by":[88,157],"Fr\u00e9chet":[90],"Inception":[91],"Distance,":[92],"which":[93],"measures":[94],"similarity":[96],"between":[97],"generated":[99],"training":[101],"samples.":[102],"To":[103],"further":[104],"evaluate":[105],"impact":[107],"COIGAN-generated":[109],"images,":[110],"segmentation":[112,122,152],"task":[113],"was":[114,147],"conducted,":[115],"utilizing":[116],"performance":[118],"metrics":[119],"accuracy,":[123],"mAP,":[124],"mIoU,":[125],"F1":[127],"score,":[128],"demonstrating":[129],"synthetic":[132],"integrate":[134],"seamlessly":[135],"produce":[137],"results":[138,161],"comparable":[139],"real":[141],"images.":[143],"Subsequently,":[144],"COIGAN":[145,202],"generability":[146],"successfully":[148],"used":[149],"defect-free":[155],"dataset":[156],"inpainting":[158],"defects.":[159],"showcase":[162],"COIGAN's":[163],"ability":[164],"learn":[166],"patterns":[168],"apply":[170],"them":[171],"new":[173,188],"contexts,":[174],"preserving":[175],"original":[177],"features":[178],"base":[181],"image":[182],"allowing":[184],"creation":[186],"desired":[192],"multi-class":[193],"distribution.":[194],"Specifically,":[195],"context":[198],"predictive":[200],"maintenance,":[201],"enriches":[203],"datasets,":[204],"enabling":[205],"deep":[206],"learning":[207],"models":[208],"more":[210],"effectively":[211],"identify":[212],"potential":[213],"anomalies.":[215],"Project":[216],"page:":[217],"https://bit.ly/4bzxwqf.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}