{"id":"https://openalex.org/W2981812367","doi":"https://doi.org/10.1145/3343031.3350912","title":"GAIN","display_name":"GAIN","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981812367","doi":"https://doi.org/10.1145/3343031.3350912","mag":"2981812367"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5100395004","display_name":"Jianfu Zhang","orcid":"https://orcid.org/0000-0002-2673-5860"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianfu Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032618817","display_name":"Li Niu","orcid":"https://orcid.org/0000-0003-1970-8634"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Niu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015079670","display_name":"Dexin Yang","orcid":"https://orcid.org/0009-0000-9648-6567"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexin Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106664802","display_name":"Li\u2010Wei Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwei Kang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044309490","display_name":"Yaoyi Li","orcid":"https://orcid.org/0000-0002-0054-4054"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyi Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011623954","display_name":"Weijie Zhao","orcid":"https://orcid.org/0000-0002-8370-8308"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weijie Zhao","raw_affiliation_strings":["Versa-AI, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Versa-AI, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100395004"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.822,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88775657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1870","last_page":"1878"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9979000091552734,"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":0.9872000217437744,"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":0.9678610563278198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7576087713241577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6664632558822632},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.6655820608139038},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6489813923835754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633751630783081},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5973705053329468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5421335697174072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5325217843055725},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5012004375457764},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.48749518394470215},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46366387605667114},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4254131317138672},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4223178029060364},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42136090993881226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2532193660736084},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24199631810188293}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9678610563278198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7576087713241577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6664632558822632},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.6655820608139038},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6489813923835754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633751630783081},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5973705053329468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5421335697174072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5325217843055725},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5012004375457764},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.48749518394470215},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46366387605667114},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4254131317138672},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4223178029060364},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42136090993881226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2532193660736084},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24199631810188293},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3350912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W792141054","https://openalex.org/W845365781","https://openalex.org/W1755572302","https://openalex.org/W1834627138","https://openalex.org/W1975049209","https://openalex.org/W1977398717","https://openalex.org/W1978074269","https://openalex.org/W1979331265","https://openalex.org/W1993120651","https://openalex.org/W2012875423","https://openalex.org/W2017745767","https://openalex.org/W2057016804","https://openalex.org/W2070604790","https://openalex.org/W2085048703","https://openalex.org/W2093212899","https://openalex.org/W2099471712","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2114245607","https://openalex.org/W2131831293","https://openalex.org/W2133665775","https://openalex.org/W2145023731","https://openalex.org/W2147512299","https://openalex.org/W2183341477","https://openalex.org/W2286929393","https://openalex.org/W2295936755","https://openalex.org/W2331128040","https://openalex.org/W2557414982","https://openalex.org/W2732026016","https://openalex.org/W2738588019","https://openalex.org/W2739748921","https://openalex.org/W2766527293","https://openalex.org/W2796286534","https://openalex.org/W2798365772","https://openalex.org/W2896434438","https://openalex.org/W2907097116","https://openalex.org/W2952686466","https://openalex.org/W2962879692","https://openalex.org/W2963420272","https://openalex.org/W2963521568","https://openalex.org/W2963917315","https://openalex.org/W2963981733","https://openalex.org/W3043547428","https://openalex.org/W3103883494","https://openalex.org/W4242371708","https://openalex.org/W4246402982","https://openalex.org/W4249710618"],"related_works":["https://openalex.org/W3194729317","https://openalex.org/W2368323222","https://openalex.org/W2353106874","https://openalex.org/W2053609098","https://openalex.org/W4210660906","https://openalex.org/W2384975811","https://openalex.org/W2372440138","https://openalex.org/W1989296610","https://openalex.org/W3090569645","https://openalex.org/W264606855"],"abstract_inverted_index":{"Image":[0],"inpainting,":[1,60],"which":[2,107,127,166],"aims":[3],"to":[4,57,116,140,161,171],"fill":[5],"the":[6,10,17,45,73,80,142,146,151,163,169,178],"missing":[7],"holes":[8,18,46],"of":[9,113],"images,":[11],"is":[12,138,158],"a":[13,123],"challenging":[14],"task":[15],"because":[16],"may":[19],"contain":[20],"complicated":[21],"structures":[22,176],"or":[23],"different":[24],"possible":[25],"layouts.":[26],"Deep":[27],"learning":[28,125],"methods":[29,53,78,195],"have":[30],"shown":[31],"promising":[32],"performance":[33],"in":[34,83],"image":[35,59,67,84,109,118,129,147],"inpainting":[36,56,130,133],"but":[37],"still,":[38],"suffer":[39],"from":[40,66],"generating":[41],"poor-structured":[42],"artifacts":[43],"when":[44],"are":[47],"large":[48],"and":[49,86,131,150,186,197],"irregular.":[50],"Some":[51],"existing":[52],"use":[54],"edge":[55,63,75,114],"help":[58],"with":[61],"binary":[62,74],"map":[64,149],"obtained":[65],"gradient.":[68],"However,":[69],"by":[70],"only":[71],"using":[72],"map,":[76],"these":[77],"discard":[79],"rich":[81],"information":[82,111,115,143,157],"gradient":[85,110,132,152,156],"thus":[87],"leave":[88],"some":[89],"critical":[90],"issues":[91],"(e.g.":[92],",":[93],"color":[94],"discrepancy)":[95],"unattended.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100,121],"propose":[101],"Gradient":[102],"Augmented":[103],"Inpainting":[104],"Network":[105],"(GAIN),":[106],"uses":[108],"instead":[112],"facilitate":[117],"inpainting.":[119],"Specifically,":[120],"formulate":[122],"multi-task":[124],"framework":[126],"performs":[128],"simultaneously.":[134],"A":[135],"novel":[136],"GAI-Block":[137],"designed":[139],"encourage":[141],"fusion":[144],"between":[145],"feature":[148,153],"map.":[154],"Moreover,":[155],"also":[159],"used":[160],"determine":[162],"filling":[164],"priority,":[165],"can":[167],"guide":[168],"network":[170],"construct":[172],"more":[173],"plausible":[174],"semantic":[175],"for":[177],"holes.":[179],"Experimental":[180],"results":[181],"on":[182],"public":[183],"datasets":[184],"CelebA-HQ":[185],"Places2":[187],"show":[188],"that":[189],"our":[190],"proposed":[191],"method":[192],"outperforms":[193],"state-of-the-art":[194],"quantitatively":[196],"qualitatively.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-01T00:00:00"}
