{"id":"https://openalex.org/W7162521339","doi":"https://doi.org/10.1109/3dv69130.2026.00042","title":"Learning High-Fidelity Garment Deformation via Skinning-Free Image Transfer","display_name":"Learning High-Fidelity Garment Deformation via Skinning-Free Image Transfer","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7162521339","doi":"https://doi.org/10.1109/3dv69130.2026.00042"},"language":null,"primary_location":{"id":"doi:10.1109/3dv69130.2026.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137116731","display_name":"Rong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rong Wang","raw_affiliation_strings":["The Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651929","display_name":"Wei Mao","orcid":"https://orcid.org/0000-0002-9034-2236"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Mao","raw_affiliation_strings":["The Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009755877","display_name":"Changsheng Lu","orcid":"https://orcid.org/0000-0002-1894-286X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changsheng Lu","raw_affiliation_strings":["The Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137095709","display_name":"Hongdong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["The Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Australian National University","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.85324082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"383"},"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":0.5992000102996826,"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":0.5992000102996826,"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":0.1096000000834465,"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":0.04280000180006027,"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/deformation","display_name":"Deformation (meteorology)","score":0.5185999870300293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3231000006198883},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.27250000834465027},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.26919999718666077},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.266400009393692}],"concepts":[{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4115999937057495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3952000141143799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3734000027179718},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3294999897480011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26249998807907104},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv69130.2026.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W1993962870","https://openalex.org/W2023134678","https://openalex.org/W2194775991","https://openalex.org/W2312687849","https://openalex.org/W2738533251","https://openalex.org/W2778628554","https://openalex.org/W2886416285","https://openalex.org/W2920928264","https://openalex.org/W2963876278","https://openalex.org/W3035668851","https://openalex.org/W3106672182","https://openalex.org/W3109394508","https://openalex.org/W3159481202","https://openalex.org/W3166588004","https://openalex.org/W3168575721","https://openalex.org/W3176503495","https://openalex.org/W3185830677","https://openalex.org/W4226160668","https://openalex.org/W4229070868","https://openalex.org/W4286611051","https://openalex.org/W4297165389","https://openalex.org/W4312833425","https://openalex.org/W4319301002","https://openalex.org/W4321512638","https://openalex.org/W4385245566","https://openalex.org/W4385489947","https://openalex.org/W4385490056","https://openalex.org/W4385764013","https://openalex.org/W4386066472","https://openalex.org/W4386071679","https://openalex.org/W4386076247","https://openalex.org/W4386083131","https://openalex.org/W4389666897","https://openalex.org/W4399564127","https://openalex.org/W4399574622","https://openalex.org/W4402727211","https://openalex.org/W4402781203","https://openalex.org/W4403896075","https://openalex.org/W4413156947"],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,18,90,200],"novel":[3],"method":[4,224],"for":[5,100,109,186],"generating":[6],"3D":[7,155,214],"garment":[8,46,103,156,231],"deformations":[9],"from":[10,206,216],"underlying":[11],"body":[12],"poses,":[13],"which":[14],"is":[15],"key":[16],"to":[17,42,55,80,144,169,175,203],"wide":[19],"range":[20],"of":[21,58,130,140,188],"applications,":[22],"including":[23],"virtual":[24],"try-on":[25],"and":[26,48,78,105,124,210,233],"extended":[27],"reality.":[28],"To":[29,84,134],"simplify":[30],"the":[31,56,71,75,128,131,137],"cloth":[32],"dynamics,":[33],"existing":[34],"methods":[35],"mostly":[36],"rely":[37],"on":[38,193,229],"linear":[39],"blend":[40],"skinning":[41,60],"obtain":[43],"low-frequency":[44,101],"posed":[45,96,102],"shape":[47],"only":[49],"regress":[50],"highfrequency":[51],"wrinkles.":[52,83],"However,":[53],"due":[54],"lack":[57],"explicit":[59],"supervision,":[61],"such":[62],"skinning-based":[63],"approach":[64,92],"often":[65],"produces":[66],"misaligned":[67],"shapes":[68],"when":[69],"posing":[70],"garment,":[72],"consequently":[73],"corrupts":[74],"high-frequency":[76,110],"signals":[77],"fails":[79],"recover":[81,176,212],"high-fidelity":[82],"tackle":[85],"this":[86,115],"issue,":[87],"we":[88,142,198],"propose":[89,143,199],"skinning-free":[91],"by":[93,127],"independently":[94],"estimating":[95],"(i)":[97],"vertex":[98,107,147],"position":[99],"shape,":[104],"(ii)":[106],"normal":[108],"local":[111],"wrinkle":[112],"details.":[113],"In":[114],"way,":[116],"each":[117],"frequency":[118,208],"modality":[119],"can":[120,158],"be":[121,159],"effectively":[122],"decoupled":[123],"directly":[125],"supervised":[126],"geometry":[129],"deformed":[132,213],"garment.":[133],"further":[135],"improve":[136],"visual":[138,178],"quality":[139,228],"deformation,":[141],"encode":[145],"both":[146,207],"attributes":[148],"as":[149],"rendered":[150],"texture":[151],"images,":[152],"so":[153],"that":[154,222],"deformation":[157],"equivalently":[160],"achieved":[161],"via":[162],"2D":[163],"image":[164,173],"transfer.":[165],"This":[166],"enables":[167],"us":[168],"leverage":[170],"powerful":[171],"pretrained":[172],"models":[174],"fine-grained":[177],"details":[179],"in":[180],"wrinkles,":[181],"while":[182],"maintaining":[183],"superior":[184],"scalability":[185],"garments":[187,215],"diverse":[189],"topologies":[190],"without":[191],"relying":[192],"manual":[194],"UV":[195],"partition.":[196],"Finally,":[197],"multimodal":[201],"fusion":[202],"incorporate":[204],"constraints":[205],"modalities":[209],"robustly":[211],"transferred":[217],"images.":[218],"Extensive":[219],"experiments":[220],"show":[221],"our":[223],"significantly":[225],"improves":[226],"animation":[227],"various":[230],"types":[232],"recovers":[234],"finer":[235],"wrinkles":[236],"than":[237],"state-of-the-art":[238],"methods.":[239]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-28T00:00:00"}