{"id":"https://openalex.org/W4225293797","doi":"https://doi.org/10.1109/icassp43922.2022.9746576","title":"Few-Shot Generation By Modeling Stereoscopic Priors","display_name":"Few-Shot Generation By Modeling Stereoscopic Priors","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225293797","doi":"https://doi.org/10.1109/icassp43922.2022.9746576"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746576","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101581206","display_name":"Yuehui Wang","orcid":"https://orcid.org/0000-0001-9379-0360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuehui Wang","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434894","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0003-3439-0644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100629138","display_name":"Dongyu Zhang","orcid":"https://orcid.org/0000-0003-2099-5837"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongyu Zhang","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.31702329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2370","last_page":"2374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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":0.996999979019165,"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":0.9968000054359436,"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":0.7949813604354858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7115436792373657},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6700936555862427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6357062458992004},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5919808149337769},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.523963212966919},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5151821374893188},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48679205775260925},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4790438413619995},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.4317486584186554},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42388951778411865},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.373690128326416},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.3312796652317047},{"id":"https://openalex.org/keywords/3d-computer-graphics","display_name":"3D computer graphics","score":0.15181833505630493},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10122263431549072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949813604354858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7115436792373657},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6700936555862427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6357062458992004},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5919808149337769},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.523963212966919},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5151821374893188},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48679205775260925},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4790438413619995},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.4317486584186554},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42388951778411865},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.373690128326416},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.3312796652317047},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.15181833505630493},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10122263431549072},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746576","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335919","display_name":"Major Projects of Guangdong Education Department for Foundation Research and Applied Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2546066744","https://openalex.org/W2593414223","https://openalex.org/W2603777577","https://openalex.org/W2785678896","https://openalex.org/W2787579267","https://openalex.org/W2889582485","https://openalex.org/W2962793481","https://openalex.org/W2963684088","https://openalex.org/W2982041717","https://openalex.org/W2989855043","https://openalex.org/W2990452356","https://openalex.org/W3092987574","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4394671432","https://openalex.org/W6685352114","https://openalex.org/W6687484953","https://openalex.org/W6729001083","https://openalex.org/W6735913928","https://openalex.org/W6748582592","https://openalex.org/W6748655329","https://openalex.org/W6754172994","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Few-shot":[0],"image":[1,69],"generation,":[2],"which":[3,47],"aims":[4],"to":[5,51,84],"generate":[6,113],"images":[7,12,116],"from":[8,107],"only":[9,30],"a":[10,14,43],"few":[11],"for":[13],"new":[15,115],"category,":[16],"has":[17],"attracted":[18],"some":[19],"research":[20],"interest":[21],"in":[22,94,118],"recent":[23],"years.":[24],"However,":[25],"existing":[26],"few-shot":[27,44,95],"generation":[28,70],"methods":[29],"focus":[31],"on":[32],"2D":[33,92],"images,":[34,110],"ignoring":[35],"3D":[36,49,90],"information.":[37],"In":[38],"this":[39],"work,":[40],"we":[41,66,111],"propose":[42],"generative":[45],"network":[46],"leverages":[48],"priors":[50],"improve":[52],"the":[53,68,86,102,124],"diversity":[54],"and":[55,77,91,104],"quality":[56],"of":[57,88,126],"generated":[58],"images.":[59],"Inspired":[60],"by":[61,100],"classic":[62],"graphics":[63],"rendering":[64],"pipelines,":[65],"unravel":[67],"process":[71],"into":[72],"three":[73],"factors:":[74],"shape,":[75],"viewpoint":[76,103],"texture.":[78],"This":[79],"disentangled":[80],"representation":[81],"enables":[82],"us":[83],"make":[85],"most":[87],"both":[89],"information":[93],"generation.":[96],"To":[97],"be":[98],"specific,":[99],"changing":[101],"extracting":[105],"textures":[106],"different":[108],"real":[109],"can":[112],"various":[114],"even":[117],"data-scarce":[119],"settings.":[120],"Extensive":[121],"experiments":[122],"show":[123],"effectiveness":[125],"our":[127],"method.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}