{"id":"https://openalex.org/W7092294239","doi":"https://doi.org/10.21227/jb0b-w582","title":"\"Measuring Aesthetic Information in AI-Generated Artistic Images: The Dataset\"","display_name":"\"Measuring Aesthetic Information in AI-Generated Artistic Images: The Dataset\"","publication_year":2025,"publication_date":"2025-10-17","ids":{"openalex":"https://openalex.org/W7092294239","doi":"https://doi.org/10.21227/jb0b-w582"},"language":null,"primary_location":{"id":"doi:10.21227/jb0b-w582","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jb0b-w582","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/jb0b-w582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Giacomo  Borghini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giacomo  Borghini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Alex  Enersen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex  Enersen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Stefano Caputo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefano Caputo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Massimiliano Pierobon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Massimiliano Pierobon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lorenzo Mucchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lorenzo Mucchi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.03759999945759773,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.003599999938160181,"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/painting","display_name":"Painting","score":0.6794000267982483},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.34540000557899475},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.3418000042438507},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.3357999920845032},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.32899999618530273},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.3276999890804291}],"concepts":[{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.6794000267982483},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.5351999998092651},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.4708999991416931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3497999906539917},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3294000029563904},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.3276999890804291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3149000108242035},{"id":"https://openalex.org/C509263881","wikidata":"https://www.wikidata.org/wiki/Q1078913","display_name":"Plastic arts","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3028999865055084},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/jb0b-w582","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jb0b-w582","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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":"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":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/jb0b-w582","is_oa":true,"landing_page_url":"https://doi.org/10.21227/jb0b-w582","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":0.6035613417625427,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"This":[0],"dataset":[1],"contains":[2],"the":[3,10,14,57,66,70,98,111,124,129,143,152,161],"human":[4,35,60,133,168],"and":[5,37,88,107],"AI-generated":[6,41,125,153],"artworks":[7,36,61,101],"used":[8],"in":[9,13,19,97,117,139,150],"study":[11],"presented":[12],"paper":[15],"\\\"Measuring":[16],"Aesthetic":[17],"Information":[18],"AI-Generated":[20],"Artistic":[21],"Images:":[22],"A":[23],"Tool":[24],"for":[25],"Authorship":[26],"Detection\\\".":[27],"It":[28],"is":[29],"a":[30,89],"curated":[31],"collection":[32],"comprising":[33],"994":[34,40],"their":[38,132,166],"corresponding":[39,167],"images,":[42],"produced":[43],"using":[44,160],"Stable":[45,74],"Diffusion":[46,75],"v2.1.":[47],"The":[48],"number":[49],"of":[50,69,92,100,131],"paintings":[51,81],"was":[52,94,120],"determined":[53],"by":[54,73,122],"selecting,":[55],"from":[56,83,146],"WikiArt":[58,147],"database,":[59],"whose":[62],"dimensions":[63,103,130],"closely":[64],"matched":[65],"native":[67],"size":[68,119],"images":[71,126,136,144,154],"generated":[72],"v2.1":[76],"(768\\u00d7768":[77],"pixels).":[78],"Specifically,":[79],"all":[80],"dated":[82],"1800":[84],"onward":[85],"were":[86,155],"considered,":[87],"tolerance":[90],"range":[91],"\\u00b120%":[93],"applied,":[95],"resulting":[96],"inclusion":[99],"with":[102],"approximately":[104],"between":[105],"614\\u00d7614":[106],"922\\u00d7922":[108],"pixels.":[109],"In":[110],"aforementioned":[112],"paper,":[113],"any":[114],"residual":[115],"difference":[116],"image":[118],"addressed":[121],"resizing":[123],"to":[127,158],"match":[128],"counterparts.":[134],"All":[135],"are":[137,148],"compressed":[138,157],"JPG":[140,159],"format.":[141],"Since":[142],"sourced":[145],"already":[149],"JPG,":[151],"also":[156],"same":[162],"quality":[163],"factor":[164],"as":[165],"counterparts.\"":[169]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-18T00:00:00"}
