{"id":"https://openalex.org/W4391149032","doi":"https://doi.org/10.1109/ic-nidc59918.2023.10390879","title":"SKETCHCREATOR: Text-Guided Diffusion Models for Vectorized Sektch Generation and Editing","display_name":"SKETCHCREATOR: Text-Guided Diffusion Models for Vectorized Sektch Generation and Editing","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4391149032","doi":"https://doi.org/10.1109/ic-nidc59918.2023.10390879"},"language":"en","primary_location":{"id":"doi:10.1109/ic-nidc59918.2023.10390879","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic-nidc59918.2023.10390879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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/A5113490231","display_name":"Ting Lu","orcid":"https://orcid.org/0000-0002-0898-2833"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Lu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111117202","display_name":"Wangchenhui Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangchenhui Wu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025187681","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9392-475X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070145690","display_name":"Haoge Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoge Deng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101087619","display_name":"Di Kong","orcid":"https://orcid.org/0000-0002-7234-2275"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Kong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075315261","display_name":"Yonggang Qi","orcid":"https://orcid.org/0000-0001-8280-3541"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Qi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"384","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9984999895095825,"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/sketch","display_name":"Sketch","score":0.9665948152542114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8117769956588745},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7324720621109009},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6194083094596863},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6187772750854492},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6155357360839844},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5729302167892456},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.5703100562095642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5197902917861938},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.43958359956741333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34898436069488525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15101423859596252},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.13326486945152283}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9665948152542114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117769956588745},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7324720621109009},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6194083094596863},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6187772750854492},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6155357360839844},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5729302167892456},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.5703100562095642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5197902917861938},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.43958359956741333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34898436069488525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15101423859596252},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.13326486945152283},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic-nidc59918.2023.10390879","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic-nidc59918.2023.10390879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2066204611","https://openalex.org/W2129069237","https://openalex.org/W2137403886","https://openalex.org/W2606712314","https://openalex.org/W2890007666","https://openalex.org/W2904759000","https://openalex.org/W2962785568","https://openalex.org/W2963084599","https://openalex.org/W2981123187","https://openalex.org/W3009091046","https://openalex.org/W3036167779","https://openalex.org/W3101364353","https://openalex.org/W3105992359","https://openalex.org/W3121370741","https://openalex.org/W3158762648","https://openalex.org/W3162926177","https://openalex.org/W3166396011","https://openalex.org/W3191805365","https://openalex.org/W3201838419","https://openalex.org/W4224035735","https://openalex.org/W4225566824","https://openalex.org/W4226125322","https://openalex.org/W4281485151","https://openalex.org/W4283009758","https://openalex.org/W4286744023","https://openalex.org/W4286850199","https://openalex.org/W4301206121","https://openalex.org/W4310695675","https://openalex.org/W6679045638","https://openalex.org/W6721872216","https://openalex.org/W6736562241","https://openalex.org/W6765779288","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6785332027","https://openalex.org/W6791353385","https://openalex.org/W6795288823","https://openalex.org/W6804811285","https://openalex.org/W6809885388","https://openalex.org/W6810793953","https://openalex.org/W6810940779","https://openalex.org/W6838639034"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2411243951","https://openalex.org/W2151314278","https://openalex.org/W13629514","https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W2098836165","https://openalex.org/W1976890290","https://openalex.org/W1573697454","https://openalex.org/W2966897482"],"abstract_inverted_index":{"We":[0],"present":[1],"SketchCreator,":[2],"a":[3,17,25,108],"text-to-sketch":[4],"generative":[5],"frame-work":[6],"built":[7],"on":[8,58,76,137],"diffusion":[9],"models,":[10],"which":[11,96,129],"can":[12,64,82,121],"produce":[13],"human":[14],"sketches":[15,21,74],"given":[16],"text":[18,50],"description.":[19,51],"Specifically,":[20],"are":[22,111],"represented":[23],"in":[24,107],"sequence":[26],"of":[27,39,46,93,131,144],"stroke":[28],"points,":[29],"where":[30],"our":[31,62,80,119,145],"model":[32,63,81,120],"aims":[33],"to":[34,125],"directly":[35],"learn":[36],"the":[37,44,47,68,77,84,91,94,104,142],"distribution":[38],"these":[40],"ordered":[41],"points":[42],"under":[43],"guidance":[45],"prompt,":[48],"i.e.,":[49],"Uniquely,":[52],"different":[53],"from":[54],"prior":[55],"arts":[56],"focusing":[57],"single-object":[59],"sketch":[60,70,86,110,127],"generation,":[61],"flexibly":[65],"generate":[66,83],"both":[67],"single":[69],"object":[71],"and":[72,115,139],"scene":[73,85,109],"conditioned":[75],"prompt.":[78],"Particularly,":[79],"uniformly":[87],"without":[88],"explicitly":[89],"determining":[90],"layout":[92],"scene,":[95],"is":[97,130],"typically":[98],"required":[99],"by":[100],"previous":[101],"works.":[102],"Consequently,":[103],"produced":[105],"objects":[106],"more":[112],"reasonably":[113],"organized":[114],"visually":[116],"appealing.":[117],"Additionally,":[118],"be":[122],"readily":[123],"applied":[124],"text-conditioned":[126],"editing":[128],"great":[132],"practical":[133],"usage.":[134],"Experimental":[135],"results":[136],"QuickDraw":[138],"FS-COCO":[140],"validate":[141],"effectiveness":[143],"model.":[146]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
