{"id":"https://openalex.org/W4403729448","doi":"https://doi.org/10.1145/3697837","title":"CTRNet++: Dual-Path Learning with Local-Global Context Modeling for Scene Text Removal","display_name":"CTRNet++: Dual-Path Learning with Local-Global Context Modeling for Scene Text Removal","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4403729448","doi":"https://doi.org/10.1145/3697837"},"language":"en","primary_location":{"id":"doi:10.1145/3697837","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3697837","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5037101589","display_name":"Chongyu Liu","orcid":"https://orcid.org/0000-0003-2516-926X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongyu Liu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China and GRG Banking, Guangzhou, China","South China University of China, GRG Banking, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China and GRG Banking, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of China, GRG Banking, China","institution_ids":["https://openalex.org/I917184967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012042767","display_name":"Dezhi Peng","orcid":"https://orcid.org/0000-0002-3263-3449"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhi Peng","raw_affiliation_strings":["South China University of Technology, Guangzhou, China and GRG Banking, Guangzhou, China","South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China and GRG Banking, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389396","display_name":"Yuliang Liu","orcid":"https://orcid.org/0000-0002-3037-173X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Liu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China","Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["South China University of Technology, Guangzhou, China","South China University of China, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of China, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037101589"],"corresponding_institution_ids":["https://openalex.org/I90610280","https://openalex.org/I917184967"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19040383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9810000061988831,"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/computer-science","display_name":"Computer science","score":0.8798128366470337},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6244910359382629},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5652035474777222},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5602914094924927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4690459370613098},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4403877258300781},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3903927803039551},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3900367319583893},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09947723150253296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8798128366470337},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6244910359382629},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5652035474777222},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5602914094924927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4690459370613098},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4403877258300781},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3903927803039551},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3900367319583893},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09947723150253296},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3697837","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3697837","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2074849287","https://openalex.org/W2078718577","https://openalex.org/W2108598243","https://openalex.org/W2125389028","https://openalex.org/W2163922914","https://openalex.org/W2343052201","https://openalex.org/W2475287302","https://openalex.org/W2732026016","https://openalex.org/W2752782242","https://openalex.org/W2785383245","https://openalex.org/W2911980510","https://openalex.org/W2914492226","https://openalex.org/W2963005009","https://openalex.org/W2963647456","https://openalex.org/W2991626090","https://openalex.org/W2995942257","https://openalex.org/W2996609910","https://openalex.org/W2997669187","https://openalex.org/W3003868038","https://openalex.org/W3043547428","https://openalex.org/W3082245115","https://openalex.org/W3100936573","https://openalex.org/W3103556460","https://openalex.org/W3167911358","https://openalex.org/W3185705915","https://openalex.org/W3192658445","https://openalex.org/W3197980622","https://openalex.org/W3199738066","https://openalex.org/W3200631470","https://openalex.org/W3213555225","https://openalex.org/W3215913643","https://openalex.org/W4213259866","https://openalex.org/W4283802017","https://openalex.org/W4288083516","https://openalex.org/W4295246343","https://openalex.org/W4296586882","https://openalex.org/W4297219256","https://openalex.org/W4313331847","https://openalex.org/W4327717010","https://openalex.org/W6843066871"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W2807441102","https://openalex.org/W2009424630","https://openalex.org/W2372693287","https://openalex.org/W2515288625"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2],"scene":[3],"text":[4,21,86],"removal":[5],"have":[6,30],"attracted":[7],"growing":[8],"research":[9],"interest":[10],"due":[11],"to":[12,38,70,83,96,153,175],"its":[13],"applications":[14],"on":[15,47,184],"privacy":[16],"protection,":[17],"document":[18],"restoration,":[19],"and":[20,26,41,75,88,106,121,140,150,157,188,198],"editing.":[22],"While":[23],"deep":[24],"learning":[25],"generative":[27],"adversarial":[28],"network":[29],"shown":[31],"significant":[32],"progress,":[33],"existing":[34,81,195],"methods":[35,197],"often":[36],"struggle":[37],"generate":[39],"consistent":[40],"plausible":[42],"textures":[43],"when":[44],"erasing":[45],"texts":[46],"complex":[48,204],"backgrounds.":[49],"To":[50],"address":[51],"this":[52],"challenge,":[53],"we":[54,135],"propose":[55],"a":[56,104,128,137,200],"Contextual-guided":[57],"Text":[58],"Removal":[59],"Network":[60],"(CTRNet).":[61],"CTRNet":[62,95],"utilizes":[63],"Low-level/High-level":[64],"Contextual":[65],"Guidance":[66],"blocks":[67],"(LCG,":[68],"HCG)":[69],"explore":[71],"both":[72],"low-level":[73],"structure":[74],"high-level":[76],"discriminative":[77],"context":[78,122],"features":[79,156,179],"from":[80,180],"data":[82],"guide":[84],"the":[85,125],"erasure":[87],"background":[89,205],"restoration":[90],"process.":[91],"We":[92],"further":[93],"extend":[94],"CTRNet++":[97,192],"by":[98],"incorporate":[99],"an":[100,113,166],"auto-encoder":[101],"architecture":[102],"as":[103,112],"novel":[105],"effective":[107],"HCG":[108],"block,":[109],"which":[110],"serves":[111],"additional":[114],"image-inpainting":[115],"branch,":[116],"providing":[117],"more":[118],"accurate":[119],"texture":[120],"clues":[123],"with":[124],"assistance":[126],"of":[127,131],"large":[129],"volume":[130],"natural":[132],"images.":[133],"Then":[134],"introduce":[136],"Context":[138],"Embedding":[139],"Content":[141],"Feature":[142,169],"Modeling":[143],"(CECFM)":[144],"block":[145],"that":[146,191],"combines":[147],"depth-wise":[148],"CNN":[149],"Transformer":[151],"layers":[152],"capture":[154],"local":[155],"establish":[158],"long-term":[159],"relationships":[160],"among":[161],"pixels":[162],"globally.":[163],"In":[164],"addition,":[165],"efficient":[167],"Progressive":[168],"Fusion":[170],"Module":[171],"(PFFM)":[172],"is":[173,209],"proposed":[174],"fully":[176],"utilize":[177],"multi-scale":[178],"different":[181],"branches.":[182],"Experiments":[183],"benchmark":[185],"datasets,":[186],"SCUT-EnsText":[187],"SCUT-Syn,":[189],"demonstrate":[190],"significantly":[193],"outperforms":[194],"state-of-the-art":[196],"exhibits":[199],"stronger":[201],"ability":[202],"for":[203],"reconstruction.":[206],"The":[207],"code":[208],"available":[210],"at":[211],"https://github.com/lcy0604/CTRNet-plus":[212],".":[213]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}