{"id":"https://openalex.org/W7133254693","doi":"https://doi.org/10.48550/arxiv.2602.24043","title":"Spatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates","display_name":"Spatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133254693","doi":"https://doi.org/10.48550/arxiv.2602.24043"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.24043","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","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/A5060374320","display_name":"Yingxuan You","orcid":"https://orcid.org/0000-0002-0154-4590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"You, Yingxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127796197","display_name":"Ren Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127839256","display_name":"Corentin Dumery","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dumery, Corentin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127838978","display_name":"Cong Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Cong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348672","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-0541-562X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127790456","display_name":"Pascal Fua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fua, Pascal","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24715968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.48260000348091125,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.48260000348091125,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.460099995136261,"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/T11448","display_name":"Face recognition and analysis","score":0.017899999395012856,"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/3d-reconstruction","display_name":"3D reconstruction","score":0.4472000002861023},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4268999993801117},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.42579999566078186},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4023999869823456},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.37869998812675476},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3537999987602234},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.3531999886035919},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.3483999967575073}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7511000037193298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7156000137329102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764000058174133},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.37869998812675476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3531999886035919},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2567000091075897},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.2540000081062317},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.24043","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.24043","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24043","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.24043","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Reconstructing":[0],"3D":[1,49,99],"clothed":[2],"humans":[3],"from":[4,52,107],"monocular":[5],"images":[6,55],"and":[7,20,56,98,103,169,177,201],"videos":[8],"is":[9],"a":[10,44,67,86,120],"fundamental":[11],"problem":[12],"with":[13,66,124],"applications":[14,194],"in":[15,26,77,142,149],"virtual":[16],"try-on,":[17],"avatar":[18],"creation,":[19],"mixed":[21],"reality.":[22],"Despite":[23],"significant":[24],"progress":[25],"human":[27],"body":[28],"recovery,":[29],"accurately":[30],"reconstructing":[31],"garment":[32,50,74,105,199],"geometry,":[33,100],"particularly":[34],"for":[35,47],"loose-fitting":[36,178],"clothing,":[37],"remains":[38],"an":[39],"open":[40],"challenge.":[41],"We":[42,110,132],"propose":[43],"unified":[45],"framework":[46],"high-fidelity":[48],"reconstruction":[51,106,117],"both":[53,175],"single":[54,108],"video":[57],"sequences.":[58],"Our":[59],"approach":[60],"combines":[61],"Implicit":[62],"Sewing":[63],"Patterns":[64],"(ISP)":[65],"generative":[68],"diffusion":[69,122],"model":[70,88],"to":[71,115,127,166],"learn":[72],"expressive":[73],"shape":[75],"priors":[76],"2D":[78],"UV":[79,95],"space.":[80],"Leveraging":[81],"these":[82],"priors,":[83],"we":[84],"introduce":[85],"mapping":[87],"that":[89,138],"establishes":[90],"correspondences":[91],"between":[92],"image":[93],"pixels,":[94],"pattern":[96],"coordinates,":[97],"enabling":[101],"accurate":[102],"detailed":[104],"images.":[109],"further":[111],"extend":[112],"this":[113],"formulation":[114],"dynamic":[116,190],"by":[118],"introducing":[119],"spatio-temporal":[121],"scheme":[123],"test-time":[125],"guidance":[126],"enforce":[128],"long-range":[129],"temporal":[130],"consistency.":[131],"also":[133],"develop":[134],"analytic":[135],"projection-based":[136],"constraints":[137],"preserve":[139,183],"image-aligned":[140],"geometry":[141],"visible":[143],"regions":[144],"while":[145,187],"enforcing":[146],"coherent":[147],"completion":[148],"occluded":[150],"areas":[151],"over":[152],"time.":[153],"Although":[154],"trained":[155],"exclusively":[156],"on":[157,174],"synthetically":[158],"simulated":[159],"cloth":[160],"data,":[161],"our":[162],"method":[163],"generalizes":[164],"well":[165],"real-world":[167],"imagery":[168],"consistently":[170],"outperforms":[171],"existing":[172],"approaches":[173],"tight-":[176],"garments.":[179],"The":[180],"reconstructed":[181],"garments":[182],"fine":[184],"geometric":[185],"detail":[186],"exhibiting":[188],"realistic":[189],"motion,":[191],"supporting":[192],"downstream":[193],"such":[195],"as":[196],"texture":[197],"editing,":[198],"retargeting,":[200],"animation.":[202]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-03T00:00:00"}