{"id":"https://openalex.org/W7131850802","doi":"https://doi.org/10.1109/tpami.2026.3668763","title":"UDFStudio: A Unified Framework of Datasets, Benchmarks and Generative Models for Unsigned Distance Functions","display_name":"UDFStudio: A Unified Framework of Datasets, Benchmarks and Generative Models for Unsigned Distance Functions","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7131850802","doi":"https://doi.org/10.1109/tpami.2026.3668763","pmid":"https://pubmed.ncbi.nlm.nih.gov/41758845"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2026.3668763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3668763","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5127369674","display_name":"Junsheng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsheng Zhou","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444337","display_name":"Wen Zhang","orcid":"https://orcid.org/0000-0001-5166-0736"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Zhang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034970671","display_name":"Baorui Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baorui Ma","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7229-2386","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001883727","display_name":"Kanle Shi","orcid":"https://orcid.org/0000-0001-5865-6078"},"institutions":[{"id":"https://openalex.org/I4210161752","display_name":"Beijing Haidian Hospital","ror":"https://ror.org/058x5eq06","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kanle Shi","raw_affiliation_strings":["Kuaishou Technology, Haidian, China"],"raw_orcid":"https://orcid.org/0000-0001-5865-6078","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Haidian, China","institution_ids":["https://openalex.org/I4210161752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127242560","display_name":"Yu-Shen Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Shen Liu","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7305-1915","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114076474","display_name":"Zhizhong Han","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhizhong Han","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA"],"raw_orcid":"https://orcid.org/0000-0001-9540-9973","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"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":0.26978924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"7","first_page":"7902","last_page":"7919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.043299999088048935,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.043299999088048935,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.0333000011742115,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.03220000118017197,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generative-model","display_name":"Generative model","score":0.6416000127792358},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6096000075340271},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5810999870300293},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5595999956130981},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4941999912261963},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42989999055862427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774399995803833},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6416000127792358},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5810999870300293},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5595999956130981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353000164031982},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42989999055862427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2026.3668763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3668763","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41758845","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41758845","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1209689819","display_name":null,"funder_award_id":"625B2102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4136897696","display_name":null,"funder_award_id":"62272263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6037354844","display_name":null,"funder_award_id":"2024ZD1003405","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Unsigned":[0],"distance":[1],"functions":[2],"(UDFs)":[3],"have":[4],"emerged":[5],"as":[6],"powerful":[7],"representation":[8],"for":[9,24,60,81,164],"modeling":[10],"and":[11,56,63,87,123,168],"reconstructing":[12],"geometries":[13],"with":[14,94],"open":[15,95],"surfaces.":[16,96],"However,":[17],"the":[18,51,104,135,146],"development":[19],"of":[20,44,53,90,113,155],"3D":[21,36,40,76,92,152],"generative":[22,77,167],"models":[23,154],"UDFs":[25,102,140],"remains":[26],"largely":[27],"unexplored,":[28],"limiting":[29],"current":[30],"methods":[31,170],"from":[32,139],"generating":[33],"diverse":[34],"open-surface":[35,61,153],"content.":[37],"Moreover,":[38],"mainstream":[39],"datasets":[41,55],"predominantly":[42],"consist":[43],"watertight":[45],"meshes,":[46],"revealing":[47],"a":[48,73,108,130],"critical":[49],"challenge:":[50],"absence":[52],"standardized":[54],"benchmarks":[57,163],"specifically":[58,79],"tailored":[59],"generation":[62,89],"reconstruction.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,128,144,160],"begin":[69],"by":[70],"introducing":[71],"UDiFF,":[72,143],"novel":[74],"diffusion-based":[75],"model":[78],"designed":[80],"UDFs.":[82,173],"UDiFF":[83,100],"supports":[84],"both":[85,166],"conditional":[86],"unconditional":[88],"textured":[91],"shapes":[93],"At":[97],"its":[98],"core,":[99],"generates":[101],"in":[103],"spatial-frequency":[105],"domain":[106],"using":[107],"learnable":[109],"wavelet":[110,118,137],"transform.":[111],"Instead":[112],"relying":[114],"on":[115,172],"manually":[116],"selected":[117],"transforms,":[119],"which":[120],"are":[121],"labor-intensive":[122],"prone":[124],"to":[125],"information":[126],"loss,":[127],"introduce":[129],"data-driven":[131],"approach":[132],"that":[133],"learns":[134],"optimal":[136],"transformation":[138],"datasets.":[141],"Beyond":[142],"present":[145],"UWings":[147],"dataset,":[148],"comprising":[149],"1,509":[150],"high-quality":[151],"winged":[156],"creatures.":[157],"Using":[158],"UWings,":[159],"establish":[161],"comprehensive":[162],"evaluating":[165],"reconstruction":[169],"based":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-28T00:00:00"}
