{"id":"https://openalex.org/W2896644309","doi":"https://doi.org/10.1109/ijcnn.2018.8489550","title":"GAN2C: Information Completion GAN with Dual Consistency Constraints","display_name":"GAN2C: Information Completion GAN with Dual Consistency Constraints","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896644309","doi":"https://doi.org/10.1109/ijcnn.2018.8489550","mag":"2896644309"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5002005784","display_name":"Lujuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lujuan Zhang","raw_affiliation_strings":["School of Mathematics and System Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and System Sciences, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635867","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-1336-2241"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Software and Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software and Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055470393","display_name":"Tao Huang","orcid":"https://orcid.org/0000-0002-7645-4290"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Huang","raw_affiliation_strings":["School of Mathematics and System Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and System Sciences, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052589723","display_name":"Zhenyuan Ma","orcid":"https://orcid.org/0000-0003-4131-1991"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyuan Ma","raw_affiliation_strings":["School of Mathematics and System Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and System Sciences, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424935","display_name":"Zhiyong Lin","orcid":"https://orcid.org/0000-0002-0793-7686"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Lin","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["School of Software and Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software and Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002005784"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.11394597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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":0.8021936416625977},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6272053718566895},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5924261808395386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5878025889396667},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5625668168067932},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5291554927825928},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5039498209953308},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49787092208862305},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4838515818119049},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.45818889141082764},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4567777216434479},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.44287344813346863},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43133246898651123},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4138789474964142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34327980875968933},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2646925449371338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8021936416625977},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6272053718566895},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5924261808395386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878025889396667},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5625668168067932},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5291554927825928},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5039498209953308},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49787092208862305},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4838515818119049},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.45818889141082764},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4567777216434479},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.44287344813346863},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43133246898651123},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4138789474964142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34327980875968933},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2646925449371338},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/132461","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/132461","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1511986666","https://openalex.org/W1670132599","https://openalex.org/W1803059841","https://openalex.org/W2058899681","https://openalex.org/W2093527588","https://openalex.org/W2099090453","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2158211626","https://openalex.org/W2165424357","https://openalex.org/W2167175671","https://openalex.org/W2171740948","https://openalex.org/W2173520492","https://openalex.org/W2240798854","https://openalex.org/W2277132981","https://openalex.org/W2309561466","https://openalex.org/W2326925005","https://openalex.org/W2395611524","https://openalex.org/W2405756170","https://openalex.org/W2409352305","https://openalex.org/W2554243884","https://openalex.org/W2605229288","https://openalex.org/W2609195090","https://openalex.org/W2612063021","https://openalex.org/W2740872844","https://openalex.org/W2741793080","https://openalex.org/W2765272558","https://openalex.org/W2765930422","https://openalex.org/W2769197712","https://openalex.org/W2774284772","https://openalex.org/W2782117089","https://openalex.org/W2916743882","https://openalex.org/W2919115771","https://openalex.org/W2951234442","https://openalex.org/W2951523806","https://openalex.org/W2962793481","https://openalex.org/W2962947361","https://openalex.org/W2963045776","https://openalex.org/W2963073614","https://openalex.org/W2963125871","https://openalex.org/W2963234999","https://openalex.org/W2963403189","https://openalex.org/W2963591054","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W3000407986","https://openalex.org/W4297772798","https://openalex.org/W4320013936","https://openalex.org/W6636883489","https://openalex.org/W6678815747","https://openalex.org/W6680801649","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6685352114","https://openalex.org/W6690244417","https://openalex.org/W6691096134","https://openalex.org/W6694900251","https://openalex.org/W6698254055","https://openalex.org/W6701655646","https://openalex.org/W6713645886","https://openalex.org/W6734074887","https://openalex.org/W6736776499","https://openalex.org/W6737325397","https://openalex.org/W6745263924","https://openalex.org/W6746431311","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3178813832","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4226298148","https://openalex.org/W2972144487","https://openalex.org/W4235873501"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"information":[4,76],"completion":[5],"technique,":[6],"GAN2C,":[7],"by":[8,80,112],"imposing":[9],"dual":[10],"consistency":[11],"constraints":[12],"(2C)":[13],"to":[14,103],"a":[15,78,97],"closed":[16],"loop":[17],"encoder-decoder":[18],"architecture":[19],"based":[20],"on":[21],"the":[22,46,83,88,106],"generative":[23],"adversarial":[24],"nets":[25],"(GAN).":[26],"When":[27],"adopting":[28],"deep":[29,59],"neural":[30,60],"networks":[31,61],"as":[32,70,72,96],"function":[33],"approximators,":[34],"GAN2C":[35,63,95],"enables":[36],"highly":[37,113],"effective":[38],"multi-modality":[39],"image":[40],"conversion":[41],"with":[42],"sparse":[43],"observation":[44],"in":[45,62,92],"target":[47],"modes.":[48],"For":[49],"empirical":[50],"demonstration":[51],"and":[52],"model":[53],"evaluation,":[54],"we":[55],"show":[56,90],"that":[57,91],"trained":[58],"can":[64],"infer":[65],"colors":[66],"for":[67],"grayscale":[68],"images,":[69],"well":[71],"estimate":[73],"rich":[74],"3D":[75],"of":[77,87],"scene":[79],"densely":[81],"predicting":[82],"depths.":[84],"The":[85],"results":[86],"experiments":[89],"both":[93],"tasks":[94],"generic":[98],"framework":[99],"has":[100],"been":[101],"comparable":[102],"or":[104],"advanced":[105],"state-of-the-art":[107],"performance":[108],"which":[109],"are":[110],"achieved":[111],"specialized":[114],"systems.":[115],"Code":[116],"is":[117],"available":[118],"at":[119],"https://github.com/AdalinZhang/GAN2C.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
