{"id":"https://openalex.org/W4415539825","doi":"https://doi.org/10.1145/3746027.3758269","title":"UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models","display_name":"UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539825","doi":"https://doi.org/10.1145/3746027.3758269"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3758269","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.07766","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jinke Li","orcid":"https://orcid.org/0009-0009-9426-9230"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinke Li","raw_affiliation_strings":["Zhejiang University, Haining, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0009-9426-9230","affiliations":[{"raw_affiliation_string":"Zhejiang University, Haining, Zhejiang, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102548773","display_name":"Jiarui Yu","orcid":"https://orcid.org/0000-0001-6327-6811"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Yu","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6327-6811","affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenxing Wei","orcid":"https://orcid.org/0009-0005-4545-596X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxing Wei","raw_affiliation_strings":["Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0005-4545-596X","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007017628","display_name":"Hande Dong","orcid":"https://orcid.org/0000-0003-0074-2664"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hande Dong","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-0074-2664","affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiang Lin","orcid":"https://orcid.org/0009-0001-2005-6170"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Lin","raw_affiliation_strings":["Tencent, ShenZhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0001-2005-6170","affiliations":[{"raw_affiliation_string":"Tencent, ShenZhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048861559","display_name":"L. Yang","orcid":"https://orcid.org/0000-0002-3294-0879"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjing Yang","raw_affiliation_strings":["Zhejiang University, Haining, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3294-0879","affiliations":[{"raw_affiliation_string":"Zhejiang University, Haining, Zhejiang, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111973421","display_name":"Z. H. Wang","orcid":"https://orcid.org/0000-0001-6781-3442"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicai Wang","raw_affiliation_strings":["Independent Researcher, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-6781-3442","affiliations":[{"raw_affiliation_string":"Independent Researcher, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043525989","display_name":"Yanbin Hao","orcid":"https://orcid.org/0000-0002-0695-1566"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Hao","raw_affiliation_strings":["Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-0695-1566","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":"13156","last_page":"13163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9909999966621399,"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/scalable-vector-graphics","display_name":"Scalable Vector Graphics","score":0.9959999918937683},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.7688999772071838},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.498199999332428},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4713999927043915},{"id":"https://openalex.org/keywords/vector-graphics","display_name":"Vector graphics","score":0.45680001378059387},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43560001254081726},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42719998955726624},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41370001435279846}],"concepts":[{"id":"https://openalex.org/C202629362","wikidata":"https://www.wikidata.org/wiki/Q2078","display_name":"Scalable Vector Graphics","level":2,"score":0.9959999918937683},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.7688999772071838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621999979019165},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C59662460","wikidata":"https://www.wikidata.org/wiki/Q170130","display_name":"Vector graphics","level":3,"score":0.45680001378059387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.37450000643730164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3370000123977661},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3758269","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.07766","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.07766","pdf_url":"https://arxiv.org/pdf/2508.07766","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.07766","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.07766","pdf_url":"https://arxiv.org/pdf/2508.07766","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1510021910","https://openalex.org/W2094260906","https://openalex.org/W2133665775","https://openalex.org/W2962785568","https://openalex.org/W2970641574","https://openalex.org/W4386072256","https://openalex.org/W4386075705","https://openalex.org/W4386075985","https://openalex.org/W4389335076","https://openalex.org/W4390874575","https://openalex.org/W4413147425"],"related_works":[],"abstract_inverted_index":{"Unlike":[0],"bitmap":[1],"images,":[2],"scalable":[3],"vector":[4,115],"graphics":[5],"(SVG)":[6],"maintain":[7],"quality":[8],"when":[9],"scaled,":[10],"frequently":[11],"employed":[12],"in":[13,19,70,134],"computer":[14],"vision":[15],"and":[16,36,47,61,84,112,153,173,175,210],"artistic":[17],"design":[18],"the":[20,96,119,135,161,186],"representation":[21],"of":[22,28,59,99],"SVG":[23,38,45,53,71,74,123,136,168,176,195],"code.":[24],"In":[25],"this":[26],"era":[27],"proliferating":[29],"AI-powered":[30],"systems,":[31],"enabling":[32],"AI":[33],"to":[34,56,108,121],"understand":[35],"generate":[37,113],"has":[39],"become":[40],"increasingly":[41],"urgent.":[42],"However,":[43],"AI-driven":[44],"understanding":[46,177],"generation":[48,75,169],"(U&G)":[49],"remain":[50],"significant":[51],"challenges.":[52],"code,":[54],"equivalent":[55],"a":[57,127],"set":[58],"curves":[60],"lines":[62],"controlled":[63],"by":[64],"floating-point":[65],"parameters,":[66,117],"demands":[67],"high":[68],"precision":[69],"U&G.":[72],"Besides,":[73],"operates":[76],"under":[77],"diverse":[78],"conditional":[79],"constraints,":[80],"including":[81],"textual":[82,171],"prompts":[83,172],"visual":[85],"references,":[86],"which":[87],"requires":[88],"powerful":[89],"multi-modal":[90,110],"processing":[91],"for":[92,150,166],"condition-to-SVG":[93],"transformation.":[94],"Recently,":[95],"rapid":[97],"growth":[98],"Multi-modal":[100],"Large":[101],"Language":[102],"Models":[103],"(MLLMs)":[104],"have":[105],"demonstrated":[106],"capabilities":[107,133],"process":[109],"inputs":[111],"complex":[114],"controlling":[116],"suggesting":[118],"potential":[120],"address":[122],"U&G":[124,196],"tasks":[125],"within":[126],"unified":[128,167],"model.":[129],"To":[130,155],"unlock":[131],"MLLM's":[132],"area,":[137],"we":[138],"propose":[139],"an":[140],"SVG-centric":[141],"dataset":[142,164,188],"called":[143],"UniSVG,":[144],"comprising":[145],"525k":[146],"data":[147],"items,":[148],"tailored":[149],"MLLM":[151],"training":[152],"evaluation.":[154],"our":[156],"best":[157],"knowledge,":[158],"it":[159],"is":[160],"first":[162],"comprehensive":[163],"designed":[165],"(from":[170],"images)":[174],"(color,":[178],"category,":[179],"usage,":[180],"etc.).":[181],"As":[182],"expected,":[183],"learning":[184],"on":[185,193,213],"proposed":[187],"boosts":[189],"open-source":[190],"MLLMs'":[191],"performance":[192],"various":[194],"tasks,":[197],"surpassing":[198],"SOTA":[199],"close-source":[200],"MLLMs":[201],"like":[202],"GPT-4V.":[203],"We":[204],"release":[205],"dataset,":[206],"benchmark,":[207],"weights,":[208],"codes":[209],"experiment":[211],"details":[212],"https://ryanlijinke.github.io/.":[214]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}