{"id":"https://openalex.org/W4416278294","doi":"https://doi.org/10.1109/3dv69130.2026.00133","title":"Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation","display_name":"Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4416278294","doi":"https://doi.org/10.1109/3dv69130.2026.00133"},"language":"en","primary_location":{"id":"doi:10.1109/3dv69130.2026.00133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00133","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.05308","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004732876","display_name":"Matteo Bastico","orcid":"https://orcid.org/0000-0003-4125-6304"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210108605","display_name":"Centre des Mat\u00e9riaux","ror":"https://ror.org/01q5ge486","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210095849","https://openalex.org/I4210108605","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matteo Bastico","raw_affiliation_strings":["UMR7633 CNRS,Centre for material sciences (MAT),Evry,France,91003"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR7633 CNRS,Centre for material sciences (MAT),Evry,France,91003","institution_ids":["https://openalex.org/I4210108605","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063653501","display_name":"David Ryckelynck","orcid":"https://orcid.org/0000-0003-3268-4892"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210094701","display_name":"Centre de Mise en Forme des Mat\u00e9riaux","ror":"https://ror.org/00qm1ye08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210094701","https://openalex.org/I4210095849","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Ryckelynck","raw_affiliation_strings":["UMR7635 CNRS,Centre for material forming (CEMEF),Sophia Antipolis,France,06904"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR7635 CNRS,Centre for material forming (CEMEF),Sophia Antipolis,France,06904","institution_ids":["https://openalex.org/I4210094701","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025898482","display_name":"Laurent Cort\u00e9","orcid":"https://orcid.org/0000-0002-9732-3265"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210108605","display_name":"Centre des Mat\u00e9riaux","ror":"https://ror.org/01q5ge486","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210095849","https://openalex.org/I4210108605","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Cort\u00e9","raw_affiliation_strings":["UMR7633 CNRS,Centre for material sciences (MAT),Evry,France,91003"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR7633 CNRS,Centre for material sciences (MAT),Evry,France,91003","institution_ids":["https://openalex.org/I4210108605","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063529435","display_name":"Yannick Tillier","orcid":"https://orcid.org/0000-0002-0002-9992"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210094701","display_name":"Centre de Mise en Forme des Mat\u00e9riaux","ror":"https://ror.org/00qm1ye08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210094701","https://openalex.org/I4210095849","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Tillier","raw_affiliation_strings":["UMR7635 CNRS,Centre for material forming (CEMEF),Sophia Antipolis,France,06904"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR7635 CNRS,Centre for material forming (CEMEF),Sophia Antipolis,France,06904","institution_ids":["https://openalex.org/I4210094701","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070294515","display_name":"\u00c9tienne Decenci\u00e8re","orcid":"https://orcid.org/0000-0002-1349-8042"},"institutions":[{"id":"https://openalex.org/I4210148040","display_name":"Centre de G\u00e9osciences","ror":"https://ror.org/03kc13263","country_code":"FR","type":"facility","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210148040","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Etienne Decenci\u00e8re","raw_affiliation_strings":["Centre for mathematical morphology (CMM),Fontainebleau,France,77300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for mathematical morphology (CMM),Fontainebleau,France,77300","institution_ids":["https://openalex.org/I4210148040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.01410534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1380","last_page":"1391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9812999963760376,"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":0.9812999963760376,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.001500000013038516,"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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/point-cloud","display_name":"Point cloud","score":0.8194000124931335},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7135000228881836},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5084999799728394},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.460099995136261},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3686000108718872},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.35280001163482666},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3264999985694885}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8194000124931335},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7135000228881836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784999966621399},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45410001277923584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39089998602867126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37439998984336853},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.35280001163482666},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.314300000667572},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2793000042438507},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.25999999046325684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.258899986743927}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/3dv69130.2026.00133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00133","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"},{"id":"pmh:oai:arXiv.org:2511.05308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.05308","pdf_url":"https://arxiv.org/pdf/2511.05308","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"pmh:oai:HAL:hal-05485087v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05485087","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"3DV 2026, Mar 2026, Vancouver, Canada. arXiv, 2026","raw_type":"Proceedings"},{"id":"doi:10.48550/arxiv.2511.05308","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.05308","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.05308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.05308","pdf_url":"https://arxiv.org/pdf/2511.05308","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"3D":[1,110,175],"point":[2,37,96,130,159,206],"clouds":[3],"become":[4],"a":[5,115,141,169],"cornerstone":[6],"of":[7,95,145,148,202,204],"modern":[8],"technology,":[9],"the":[10,91,146,177,189],"need":[11],"for":[12,34,158,172],"sophisticated":[13],"generative":[14,98],"models":[15,157],"and":[16,50,56,76,93,186],"reliable":[17],"evaluation":[18,100,144],"metrics":[19,33,104],"has":[20],"grown":[21],"exponentially.":[22],"In":[23],"this":[24],"work,":[25],"we":[26,113,167],"first":[27],"expose":[28],"that":[29,68,193],"some":[30],"commonly":[31],"used":[32,61],"evaluating":[35],"generated":[36,149,205],"clouds,":[38,207],"particularly":[39,199],"those":[40],"based":[41],"on":[42,107,188],"Chamfer":[43,81],"Distance":[44,82],"(CD),":[45],"lack":[46],"robustness":[47,94],"against":[48],"defects":[49],"fail":[51],"to":[52,73,89],"capture":[53],"geometric":[54],"fidelity":[55],"local":[57],"shape":[58],"consistency":[59,92],"when":[60,135],"as":[62,163],"quality":[63,147,203],"indicators.":[64],"We":[65,182],"further":[66],"show":[67],"introducing":[69],"samples":[70],"alignment":[71],"prior":[72],"distance":[74],"calculation":[75],"replacing":[77],"CD":[78],"with":[79,137],"Density-Aware":[80],"(DCD)":[83],"are":[84],"simple":[85],"yet":[86],"essential":[87],"steps":[88],"ensure":[90],"cloud":[97,160],"model":[99,195],"metrics.":[101],"While":[102],"existing":[103],"primarily":[105],"focus":[106],"directly":[108],"comparing":[109,128],"Euclidean":[111],"coordinates,":[112],"present":[114],"novel":[116],"metric,":[117,134],"named":[118],"Surface":[119],"Normal":[120],"Concordance":[121],"(SNC),":[122],"which":[123],"approximates":[124],"surface":[125],"similarity":[126],"by":[127],"estimated":[129],"normals.":[131],"This":[132],"new":[133,170,209],"combined":[136],"traditional":[138],"ones,":[139],"provides":[140],"more":[142],"comprehensive":[143],"samples.":[150],"Finally,":[151],"leveraging":[152],"recent":[153],"advancements":[154],"in":[155,200],"transformer-based":[156],"analysis,":[161],"such":[162],"serialized":[164],"patch":[165],"attention,":[166],"propose":[168],"architecture":[171],"generating":[173],"high-fidelity":[174],"structures,":[176],"Diffusion":[178],"Point":[179],"Transformer":[180],"(DiPT).":[181],"perform":[183],"extensive":[184],"experiments":[185],"comparisons":[187],"ShapeNet":[190],"dataset,":[191],"showing":[192],"our":[194],"outperforms":[196],"previous":[197],"solutions,":[198],"terms":[201],"achieving":[208],"state-of-the-art.":[210],"Code":[211],"available":[212],"at":[213],"https://github.com/matteobastico/DiffusionPointTransformer.":[214]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-11T00:00:00"}
