{"id":"https://openalex.org/W7141424275","doi":"https://doi.org/10.48550/arxiv.2603.25580","title":"UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animation","display_name":"UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animation","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141424275","doi":"https://doi.org/10.48550/arxiv.2603.25580"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25580","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25580","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.25580","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130733096","display_name":"Chengfeng Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Chengfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130756459","display_name":"Junbo Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Junbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069696836","display_name":"Yulou Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yulou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130796797","display_name":"Zhiyang Dou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dou, Zhiyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087311970","display_name":"Minchen Li","orcid":"https://orcid.org/0000-0001-9868-7311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Minchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130760651","display_name":"Taku Komura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Komura, Taku","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130756028","display_name":"Ziwei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ziwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130811321","display_name":"Wenping Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130733949","display_name":"Yuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuan","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":0.9004999995231628,"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":0.9004999995231628,"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":0.033900000154972076,"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/T12290","display_name":"Human Motion and Animation","score":0.020600000396370888,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5950999855995178},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5932000279426575},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5078999996185303},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.47530001401901245},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.46939998865127563},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4153999984264374},{"id":"https://openalex.org/keywords/skinning","display_name":"Skinning","score":0.3937999904155731},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.35120001435279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276000142097473},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5950999855995178},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5932000279426575},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.489300012588501},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.47530001401901245},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4068000018596649},{"id":"https://openalex.org/C2777685762","wikidata":"https://www.wikidata.org/wiki/Q780654","display_name":"Skinning","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3871000111103058},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.3411000072956085},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3125},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.26429998874664307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25580","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25580","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":"doi:10.48550/arxiv.2603.25580","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25580","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Simulating":[0],"physically":[1],"realistic":[2],"garment":[3,56,70,116,192],"deformations":[4],"is":[5,14,34,105],"an":[6,93,119],"essential":[7],"task":[8],"for":[9,37],"virtual":[10],"immersive":[11],"experience,":[12],"which":[13,33,138,162],"often":[15],"achieved":[16],"by":[17,48],"physics":[18],"simulation":[19],"methods.":[20],"However,":[21],"these":[22],"methods":[23,42],"are":[24],"typically":[25],"time-consuming,":[26],"computationally":[27],"demanding,":[28],"and":[29,145,198,209],"require":[30,125],"costly":[31],"hardware,":[32],"not":[35,124,163],"suitable":[36],"real-time":[38],"applications.":[39],"Recent":[40],"learning-based":[41],"tried":[43],"to":[44,53,63,88,106,113,127,129,134,158,194],"resolve":[45],"this":[46,76],"problem":[47],"training":[49,144],"graph":[50],"neural":[51,82,110,151],"networks":[52],"learn":[54,107],"the":[55,65,90,99,108,115,141,147,155,169,180,196],"deformation":[57,67,83,111,148,152,160,181],"on":[58,188],"vertices,":[59],"which,":[60],"however,":[61],"fail":[62],"capture":[64],"intricate":[66],"of":[68,92,168,191,200],"complex":[69,73,170],"meshes":[71,193],"with":[72],"topologies.":[74],"In":[75],"paper,":[77],"we":[78],"introduce":[79],"a":[80,175],"novel":[81],"field-based":[84],"method,":[85],"named":[86],"UNIC,":[87],"animate":[89,114],"garments":[91,131,171],"avatar":[94],"in":[95,143,179,211],"real":[96],"time,":[97],"given":[98],"motion":[100,136],"sequences.":[101],"Our":[102],"key":[103],"idea":[104],"instance-specific":[109,120],"field":[112],"meshes.":[117],"Such":[118],"learning":[121],"scheme":[122],"does":[123],"UNIC":[126,201],"generalize":[128],"new":[130,135],"but":[132,172],"only":[133,164],"sequences,":[137],"greatly":[139],"reduces":[140],"difficulty":[142],"improves":[146],"quality.":[149],"Moreover,":[150],"fields":[153],"map":[154],"3D":[156],"points":[157],"their":[159],"offsets,":[161],"avoids":[165],"handling":[166],"topologies":[167],"also":[173],"injects":[174],"natural":[176],"smoothness":[177],"constraint":[178],"learning.":[182],"Extensive":[183],"experiments":[184],"have":[185],"been":[186],"conducted":[187],"various":[189],"kinds":[190],"demonstrate":[195],"effectiveness":[197],"efficiency":[199],"over":[202],"baseline":[203],"methods,":[204],"making":[205],"it":[206],"potentially":[207],"practical":[208],"useful":[210],"real-world":[212],"interactive":[213],"applications":[214],"like":[215],"video":[216],"games.":[217]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-28T00:00:00"}