{"id":"https://openalex.org/W7131374022","doi":"https://doi.org/10.48550/arxiv.2602.20700","title":"NGL: Natural Garment Language for Training-Free Sewing Pattern Estimation","display_name":"NGL: Natural Garment Language for Training-Free Sewing Pattern Estimation","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131374022","doi":"https://doi.org/10.48550/arxiv.2602.20700"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.20700","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/A5126846650","display_name":"Anna Badalyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Badalyan, Anna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104154542","display_name":"Pratheba Selvaraju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Selvaraju, Pratheba","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093452524","display_name":"Giorgio Becherini","orcid":"https://orcid.org/0009-0005-8770-8144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Becherini, Giorgio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111226930","display_name":"Omid Taheri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taheri, Omid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126814896","display_name":"Victoria Fernandez Abrevaya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abrevaya, Victoria Fernandez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126825482","display_name":"Michael A. Black","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Black, Michael","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":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6342999935150146,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6342999935150146,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.17550000548362732,"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/T11595","display_name":"Textile materials and evaluations","score":0.0982000008225441,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.671500027179718},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.600600004196167},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.583899974822998},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5437999963760376},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.49410000443458557},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4909000098705292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4187000095844269},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.39820000529289246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689999938011169},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.671500027179718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6349999904632568},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.600600004196167},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.583899974822998},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5437999963760376},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4909000098705292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4462999999523163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.375},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.32019999623298645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2994000017642975},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.27219998836517334},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.20700","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.2602.20700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20700","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":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.20700","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Estimating":[0],"sewing":[1,95,147,225],"patterns":[2,96],"from":[3,44,48],"images":[4,209],"is":[5,177,222],"a":[6,109,128,158],"practical":[7],"approach":[8,168],"for":[9,224,237],"creating":[10],"high-quality":[11],"3D":[12],"garments,":[13,202],"but":[14,89],"it":[15],"remains":[16,97],"challenging":[17],"due":[18],"to":[19,39,56,58,62,72,136,187,207],"the":[20,154],"scarcity":[21],"of":[22,162],"paired":[23],"real-world":[24,64,208],"image":[25],"and":[26,69,141,157,176,182,232],"sewing-pattern":[27,42],"data.":[28],"Existing":[29],"methods":[30,197],"address":[31],"this":[32,101],"limitation":[33],"by":[34],"training":[35],"vision-language":[36],"models":[37],"(VLMs)":[38],"learn":[40],"low-level":[41],"representations":[43],"synthetic":[45],"garments":[46,85,115],"sampled":[47],"parametric":[49],"garment":[50,67,139,220],"models.":[51],"However,":[52],"they":[53],"often":[54],"struggle":[55],"generalize":[57],"in-the-wild":[59,164],"images,":[60],"fail":[61],"capture":[63],"correlations":[65],"between":[66],"parts,":[68],"are":[70,81],"restricted":[71],"single-layer":[73,201],"outfits.":[74],"In":[75],"contrast,":[76],"we":[77,103,126],"observe":[78],"that":[79,113,132,217],"VLMs":[80,135],"effective":[82],"at":[83],"describing":[84],"in":[86,116,179],"natural":[87,121],"language,":[88],"mapping":[90],"these":[91],"descriptions":[92],"into":[93,145],"valid":[94,146],"difficult.":[98],"To":[99],"bridge":[100],"gap,":[102],"propose":[104],"NGL":[105,191],"(Natural":[106],"Garment":[107],"Language),":[108],"novel":[110],"domain-specific":[111],"language":[112],"represents":[114],"terms":[117],"aligned":[118],"with":[119,211,228],"VLMs'":[120],"descriptive":[122],"abilities.":[123],"Leveraging":[124],"NGL,":[125],"introduce":[127],"fully":[129],"training-free":[130],"pipeline":[131],"queries":[133],"large":[134],"extract":[137],"structured":[138],"specifications":[140],"deterministically":[142],"converts":[143],"them":[144],"patterns.":[148],"We":[149],"evaluate":[150],"our":[151],"method":[152],"on":[153,172,200],"Dress4D,":[155],"CloSe":[156],"newly":[159],"collected":[160],"dataset":[161],"253":[163],"fashion":[165],"images.":[166],"Our":[167,230],"achieves":[169],"state-of-the-art":[170],"performance":[171],"standard":[173],"geometry":[174],"metrics":[175],"preferred":[178],"both":[180],"human":[181],"GPT-based":[183],"perceptual":[184],"evaluations":[185],"compared":[186],"existing":[188],"baselines.":[189],"Furthermore,":[190],"recovers":[192],"multi-layer":[193],"outfits":[194],"whereas":[195],"competing":[196],"focus":[198],"mostly":[199],"highlighting":[203],"its":[204],"strong":[205],"generalization":[206],"even":[210],"occluded":[212],"parts.":[213],"These":[214],"results":[215],"demonstrate":[216],"an":[218],"efficient":[219],"representation":[221],"critical":[223],"pattern":[226],"estimation":[227],"VLMs.":[229],"code":[231],"data":[233],"will":[234],"be":[235],"released":[236],"research":[238],"use.":[239]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-26T00:00:00"}
