{"id":"https://openalex.org/W4387968178","doi":"https://doi.org/10.1145/3581783.3611763","title":"Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation","display_name":"Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968178","doi":"https://doi.org/10.1145/3581783.3611763"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st 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/A5058786230","display_name":"Mengping Yang","orcid":"https://orcid.org/0000-0003-1503-9621"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengping Yang","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621319","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-3759-2041"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033301802","display_name":"Wenyi Feng","orcid":"https://orcid.org/0000-0002-4663-0097"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Feng","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107539180","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0003-2037-7924"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101487934","display_name":"Ting Xiao","orcid":"https://orcid.org/0000-0003-3155-7664"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Xiao","raw_affiliation_strings":["East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058786230"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.3576,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60522504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7837","last_page":"7848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.8526631593704224},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.762906551361084},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7002043724060059},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5857508182525635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692774653434753},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5270300507545471},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4533230662345886},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.44818803668022156},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4419540762901306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42266589403152466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3752686083316803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1367751657962799}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8526631593704224},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.762906551361084},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7002043724060059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5857508182525635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692774653434753},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5270300507545471},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4533230662345886},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.44818803668022156},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4419540762901306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42266589403152466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3752686083316803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1367751657962799},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611763","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1790698093","display_name":null,"funder_award_id":"62002193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4375054826","display_name":null,"funder_award_id":"111006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8083319689","display_name":null,"funder_award_id":"62076094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1996021349","https://openalex.org/W2108598243","https://openalex.org/W2533598788","https://openalex.org/W2603777577","https://openalex.org/W2901157565","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962974533","https://openalex.org/W2963839617","https://openalex.org/W2964615694","https://openalex.org/W2989855043","https://openalex.org/W3026885507","https://openalex.org/W3035574324","https://openalex.org/W3092987574","https://openalex.org/W3094954720","https://openalex.org/W3112437058","https://openalex.org/W3176663332","https://openalex.org/W3176913662","https://openalex.org/W3203605797","https://openalex.org/W4226324275","https://openalex.org/W4307922287","https://openalex.org/W4312238440","https://openalex.org/W4312423208","https://openalex.org/W4312440098","https://openalex.org/W4312527645","https://openalex.org/W4312576277","https://openalex.org/W4312825782","https://openalex.org/W4312933868","https://openalex.org/W4323926101","https://openalex.org/W4386047741","https://openalex.org/W6600577134","https://openalex.org/W6601283680","https://openalex.org/W6802431797"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2051058708","https://openalex.org/W2057775761","https://openalex.org/W2964074194"],"abstract_inverted_index":{"Few-shot":[0],"image":[1,153],"generation,":[2,53],"which":[3],"aims":[4],"to":[5,55,74,110,115,136],"produce":[6],"plausible":[7],"and":[8,58,121,148,169,197],"diverse":[9],"images":[10,17,31,117],"for":[11,52,151,190],"one":[12],"category":[13],"given":[14],"a":[15,68,103,146,191],"few":[16],"from":[18,87],"this":[19,65],"category,":[20],"has":[21],"drawn":[22],"extensive":[23,163],"attention.":[24],"Existing":[25],"approaches":[26],"either":[27],"globally":[28],"interpolate":[29],"different":[30],"or":[32],"fuse":[33],"local":[34,81],"representations":[35],"with":[36,118,141],"pre-defined":[37],"coefficients.":[38],"However,":[39],"such":[40],"an":[41],"intuitive":[42],"combination":[43],"of":[44,127,157],"images/features":[45],"only":[46],"exploits":[47],"the":[48,85,88,99,113,124,128,134],"most":[49],"relevant":[50],"information":[51],"leading":[54],"poor":[56],"diversity":[57],"coarse-grained":[59],"semantic":[60,77,95],"fusion.":[61],"To":[62],"remedy":[63],"this,":[64],"paper":[66],"proposes":[67],"novel":[69,147],"textural":[70],"modulation":[71],"(TexMod)":[72],"mechanism":[73],"inject":[75],"external":[76],"signals":[78],"into":[79,187],"internal":[80],"representations.":[82],"Parameterized":[83],"by":[84,132,162],"feedback":[86],"discriminator,":[89],"our":[90,158,180],"TexMod":[91],"enables":[92],"more":[93],"fined-grained":[94],"injection":[96],"while":[97],"maintaining":[98],"synthesis":[100,175],"fidelity.":[101],"Moreover,":[102],"global":[104],"structural":[105],"discriminator":[106],"(StructD)":[107],"is":[108,130,160],"developed":[109],"explicitly":[111],"guide":[112],"model":[114,129,135,150,159],"generate":[116],"reasonable":[119],"layout":[120],"outline.":[122],"Furthermore,":[123],"frequency":[125,138],"awareness":[126],"reinforced":[131],"encouraging":[133],"distinguish":[137],"signals.":[139],"Together":[140],"these":[142,178],"techniques,":[143],"we":[144],"build":[145],"effective":[149],"few-shot":[152],"generation.":[154],"The":[155],"effectiveness":[156],"identified":[161],"experiments":[164],"on":[165,177],"three":[166],"popular":[167],"datasets":[168],"various":[170],"settings.":[171],"Besides":[172],"achieving":[173],"state-of-the-art":[174],"performance":[176,193],"datasets,":[179],"proposed":[181],"techniques":[182],"could":[183],"be":[184],"seamlessly":[185],"integrated":[186],"existing":[188],"models":[189,198],"further":[192],"boost.":[194],"Our":[195],"code":[196],"are":[199],"available":[200],"at":[201],"\\hrefhttps://github.com/kobeshegu/SDTM-GAN-ACMMM-2023":[202],"here.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}