{"id":"https://openalex.org/W4415057885","doi":"https://doi.org/10.48550/arxiv.2509.07127","title":"SVGauge: Towards Human-Aligned Evaluation for SVG Generation","display_name":"SVGauge: Towards Human-Aligned Evaluation for SVG Generation","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4415057885","doi":"https://doi.org/10.48550/arxiv.2509.07127"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.07127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07127","pdf_url":"https://arxiv.org/pdf/2509.07127","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.07127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119946438","display_name":"Leonardo Zini","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zini, Leonardo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119946439","display_name":"Elia Frigieri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frigieri, Elia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119946440","display_name":"Sebastiano Aloscari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aloscari, Sebastiano","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119946441","display_name":"Marcello Generali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Generali, Marcello","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119946442","display_name":"Lorenzo Dodi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dodi, Lorenzo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119946443","display_name":"Robert Dosen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dosen, Robert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5119946444","display_name":"Lorenzo Baraldi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baraldi, Lorenzo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5119946438"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9908999800682068,"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/T12031","display_name":"Speech and dialogue systems","score":0.9908999800682068,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9854000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalable-vector-graphics","display_name":"Scalable Vector Graphics","score":0.9000999927520752},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6417999863624573},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5662000179290771},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.566100001335144},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.47540000081062317},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43689998984336853}],"concepts":[{"id":"https://openalex.org/C202629362","wikidata":"https://www.wikidata.org/wiki/Q2078","display_name":"Scalable Vector Graphics","level":2,"score":0.9000999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765999794006348},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6417999863624573},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.566100001335144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5564000010490417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5005000233650208},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2799000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.07127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07127","pdf_url":"https://arxiv.org/pdf/2509.07127","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},{"id":"doi:10.48550/arxiv.2509.07127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.07127","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.07127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07127","pdf_url":"https://arxiv.org/pdf/2509.07127","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generated":[0],"Scalable":[1],"Vector":[2],"Graphics":[3],"(SVG)":[4],"images":[5],"demand":[6],"evaluation":[7,127],"criteria":[8,16],"tuned":[9],"to":[10,27],"their":[11],"symbolic":[12],"and":[13,56,61,66,88,106,128],"vectorial":[14],"nature:":[15],"that":[17,97],"existing":[18,118],"metrics":[19],"such":[20],"as":[21],"FID,":[22],"LPIPS,":[23],"or":[24],"CLIPScore":[25],"fail":[26],"satisfy.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"introduce":[33],"SVGauge,":[34],"the":[35,76,79,83,92,100,123],"first":[36],"human-aligned,":[37],"reference":[38],"based":[39],"metric":[40],"for":[41,63,133],"text-to-SVG":[42,136],"generation.":[43],"SVGauge":[44,98],"jointly":[45],"measures":[46],"(i)":[47],"visual":[48],"fidelity,":[49],"obtained":[50],"by":[51,71],"extracting":[52],"SigLIP":[53],"image":[54],"embeddings":[55],"refining":[57],"them":[58],"with":[59,103],"PCA":[60],"whitening":[62],"domain":[64],"alignment,":[65],"(ii)":[67],"semantic":[68],"consistency,":[69],"captured":[70],"comparing":[72],"BLIP-2-generated":[73],"captions":[74],"of":[75,86,110,125],"SVGs":[77],"against":[78],"original":[80],"prompts":[81],"in":[82],"combined":[84],"space":[85],"SBERT":[87],"TF-IDF.":[89],"Evaluation":[90],"on":[91],"proposed":[93],"SHE":[94],"benchmark":[95],"shows":[96],"attains":[99],"highest":[101],"correlation":[102],"human":[104],"judgments":[105],"reproduces":[107],"system-level":[108],"rankings":[109],"eight":[111],"zero-shot":[112],"LLM-based":[113],"generators":[114],"more":[115],"faithfully":[116],"than":[117],"metrics.":[119],"Our":[120],"results":[121],"highlight":[122],"necessity":[124],"vector-specific":[126],"provide":[129],"a":[130],"practical":[131],"tool":[132],"benchmarking":[134],"future":[135],"generation":[137],"models.":[138]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-11T00:00:00"}