{"id":"https://openalex.org/W4415202978","doi":"https://doi.org/10.1109/iccv51701.2025.00800","title":"PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image","display_name":"PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415202978","doi":"https://doi.org/10.1109/iccv51701.2025.00800"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.17332","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070047355","display_name":"Hyeongjin Nam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123907","display_name":"National University College","ror":"https://ror.org/02hs8e066","country_code":"PR","type":"education","lineage":["https://openalex.org/I4210123907"]}],"countries":["PR"],"is_corresponding":false,"raw_author_name":"Hyeongjin Nam","raw_affiliation_strings":["Seoul National University,Dept. of ECE&#x0026;ASRI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of ECE&#x0026;ASRI","institution_ids":["https://openalex.org/I4210123907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370729","display_name":"Donghwan Kim","orcid":"https://orcid.org/0000-0002-0139-2494"},"institutions":[{"id":"https://openalex.org/I4210123907","display_name":"National University College","ror":"https://ror.org/02hs8e066","country_code":"PR","type":"education","lineage":["https://openalex.org/I4210123907"]}],"countries":["PR"],"is_corresponding":false,"raw_author_name":"Donghwan Kim","raw_affiliation_strings":["Seoul National University,Dept. of ECE&#x0026;ASRI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of ECE&#x0026;ASRI","institution_ids":["https://openalex.org/I4210123907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005534094","display_name":"Gyeongsik Moon","orcid":"https://orcid.org/0000-0003-0610-7936"},"institutions":[{"id":"https://openalex.org/I4210161052","display_name":"Korea University","ror":"https://ror.org/05m1gnk07","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210161052"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gyeongsik Moon","raw_affiliation_strings":["Korea University,Dept. of CSE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University,Dept. of CSE","institution_ids":["https://openalex.org/I4210161052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046504049","display_name":"Kyoung Mu Lee","orcid":"https://orcid.org/0000-0001-7210-1036"},"institutions":[{"id":"https://openalex.org/I4210123907","display_name":"National University College","ror":"https://ror.org/02hs8e066","country_code":"PR","type":"education","lineage":["https://openalex.org/I4210123907"]}],"countries":["PR"],"is_corresponding":false,"raw_author_name":"Kyoung Mu Lee","raw_affiliation_strings":["Seoul National University,Dept. of ECE&#x0026;ASRI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of ECE&#x0026;ASRI","institution_ids":["https://openalex.org/I4210123907"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.26810599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8547","last_page":"8557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9915000200271606,"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":0.9915000200271606,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9336000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/segmentation","display_name":"Segmentation","score":0.5634999871253967},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5562999844551086},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5113999843597412},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4081000089645386},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.40720000863075256},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3668000102043152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3531000018119812},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.34630000591278076},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.34610000252723694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396000027656555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7297999858856201},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6899999976158142},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5634999871253967},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5562999844551086},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5113999843597412},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4081000089645386},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3668000102043152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C2781112085","wikidata":"https://www.wikidata.org/wiki/Q561","display_name":"Human tooth","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.26930001378059387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C207183524","wikidata":"https://www.wikidata.org/wiki/Q7708528","display_name":"Texture atlas","level":5,"score":0.2554999887943268},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.251800000667572},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.17332","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.17332","pdf_url":"https://arxiv.org/pdf/2507.17332","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.17332","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.17332","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:oai:arXiv.org:2507.17332","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.17332","pdf_url":"https://arxiv.org/pdf/2507.17332","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6372282103","display_name":null,"funder_award_id":"2021-0-02068,2023-0-00156","funder_id":"https://openalex.org/F4320321292","funder_display_name":"Seoul National University"},{"id":"https://openalex.org/G7811912503","display_name":null,"funder_award_id":"2021-0-01343,2025-RS-2020II201819,RS-2025-02653113,RS-2025-25441838","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,38,190],"misaligned":[1,78],"human":[2,6,17,21,42,51,65,92,102,114,134,138,175,188],"texture":[3,33,152,172],"across":[4],"different":[5],"parts":[7,43],"is":[8,193],"one":[9],"of":[10,14,41,57,174],"the":[11,54,143],"main":[12],"limitations":[13],"existing":[15,63],"3D":[16,64,91,101,113,124,187],"reconstruction":[18,66],"methods.":[19],"Each":[20],"part,":[22],"such":[23,72],"as":[24,45,95],"a":[25,31,46,58,96,118,123,132,156,166],"jacket":[26],"or":[27],"pants,":[28],"should":[29],"maintain":[30],"distinct":[32],"without":[34],"blending":[35],"into":[36,151],"others.":[37],"structural":[39],"coherence":[40],"serves":[44],"crucial":[47],"cue":[48],"to":[49,77,99,111,147],"infer":[50,112],"textures":[52,79],"in":[53,80,186],"invisible":[55],"regions":[56],"single":[59,119],"image.":[60],"However,":[61],"most":[62],"methods":[67],"do":[68],"not":[69],"explicitly":[70],"exploit":[71],"part":[73,93,115,125,139,149],"segmentation":[74,126],"priors,":[75],"leading":[76],"their":[81],"reconstructions.":[82],"In":[83],"this":[84],"regard,":[85],"we":[86,121,154],"present":[87],"PARTE,":[88],"which":[89,161],"utilizes":[90],"information":[94,116,150],"key":[97],"guide":[98],"reconstruct":[100],"textures.":[103],"Our":[104],"framework":[105,182],"comprises":[106],"two":[107],"core":[108],"components.":[109],"First,":[110],"from":[117,165],"image,":[120],"propose":[122],"module":[127,159],"(PartSegmenter)":[128],"that":[129,180],"initially":[130],"reconstructs":[131],"textureless":[133,144],"surface":[135],"and":[136],"predicts":[137],"labels":[140],"based":[141],"on":[142,171],"surface.":[145],"Second,":[146],"incorporate":[148],"reconstruction,":[153],"introduce":[155],"part-guided":[157],"texturing":[158],"(PartTexturer),":[160],"acquires":[162],"prior":[163],"knowledge":[164],"pre-trained":[167],"image":[168],"generation":[169],"network":[170],"alignment":[173],"parts.":[176],"Extensive":[177],"experiments":[178],"demonstrate":[179],"our":[181],"achieves":[183],"state-of-the-art":[184],"quality":[185],"reconstruction.":[189],"project":[191],"page":[192],"available":[194],"at":[195],"https://hygenie1228.github.io/PARTE/.":[196]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-16T00:00:00"}
