{"id":"https://openalex.org/W7128610200","doi":"https://doi.org/10.48550/arxiv.2602.09730","title":"Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings","display_name":"Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings","publication_year":2026,"publication_date":"2026-02-10","ids":{"openalex":"https://openalex.org/W7128610200","doi":"https://doi.org/10.48550/arxiv.2602.09730"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.09730","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125682682","display_name":"Laura Paul","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paul, Laura","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094415216","display_name":"Holger Rauhut","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rauhut, Holger","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125664824","display_name":"Martin Burger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Burger, Martin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046050620","display_name":"Samira Kabri","orcid":"https://orcid.org/0000-0003-0131-3933"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kabri, Samira","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051931414","display_name":"Tim Roith","orcid":"https://orcid.org/0000-0001-8440-2928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roith, Tim","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5125682682"],"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.5647000074386597,"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":0.5647000074386597,"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/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.14920000731945038,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.08950000256299973,"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":0.7111999988555908},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4677000045776367},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.447299987077713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39980000257492065},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.39500001072883606},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.3707999885082245},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3596000075340271}],"concepts":[{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.7111999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5936999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47040000557899475},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4593000113964081},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.447299987077713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.257099986076355},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.09730","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.09730","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.09730","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.09730","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,28,126],"imaging":[3],"technologies,":[4],"deep":[5,90],"learning":[6],"and":[7,20,36,48,54,85],"numerical":[8],"performance":[9],"have":[10],"enabled":[11],"non-invasive":[12],"detailed":[13],"analysis":[14],"of":[15,26,123],"artworks,":[16],"supporting":[17],"their":[18],"documentation":[19],"conservation.":[21],"In":[22],"particular,":[23],"automated":[24],"detection":[25,72],"craquelure":[27],"digitized":[29],"paintings":[30],"is":[31,93],"crucial":[32],"for":[33,98],"assessing":[34],"degradation":[35],"guiding":[37],"restoration,":[38],"yet":[39],"remains":[40],"challenging":[41],"due":[42],"to":[43],"the":[44,49,99,127],"possibly":[45],"complex":[46],"scenery":[47],"visual":[50],"similarity":[51],"between":[52],"cracks":[53],"crack-like":[55],"artistic":[56],"features":[57],"such":[58],"as":[59,73,95],"brush":[60],"strokes":[61],"or":[62],"hair.":[63],"We":[64],"propose":[65],"a":[66,82,86,108,114,120],"hybrid":[67],"approach":[68],"that":[69],"models":[70],"crack":[71,87,103,115,124],"an":[74,78],"inverse":[75],"problem,":[76],"decomposing":[77],"observed":[79],"image":[80],"into":[81],"crack-free":[83],"painting":[84],"component.":[88],"A":[89],"generative":[91],"model":[92],"employed":[94],"powerful":[96],"prior":[97],"underlying":[100],"artwork,":[101],"while":[102],"structures":[104],"are":[105],"captured":[106],"using":[107],"Mumford--Shah-type":[109],"variational":[110],"functional":[111],"together":[112],"with":[113],"prior.":[116],"Joint":[117],"optimization":[118],"yields":[119],"pixel-level":[121],"map":[122],"localizations":[125],"painting.":[128]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-12T00:00:00"}
