{"id":"https://openalex.org/W7214246149","doi":"https://doi.org/10.1145/3842577","title":"PartLLM: A Unified Multimodal Foundation for 3D Part Segmentation","display_name":"PartLLM: A Unified Multimodal Foundation for 3D Part Segmentation","publication_year":2026,"publication_date":"2026-11-09","ids":{"openalex":"https://openalex.org/W7214246149","doi":"https://doi.org/10.1145/3842577"},"language":"en","primary_location":{"id":"doi:10.1145/3842577","doi":"https://doi.org/10.1145/3842577","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3842577","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3842577","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5152729781","display_name":"Zhe Zhu","orcid":"https://orcid.org/0000-0001-5314-9392","observed_orcids":["https://orcid.org/0000-0001-5314-9392"]},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhu","raw_affiliation_strings":["Taiyuan University of Technology, Taiyuan, China","Tencent Visvise, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5314-9392","affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"Tencent Visvise, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152610732","display_name":"Yiheng Zhang","orcid":"https://orcid.org/0009-0000-2889-4470","observed_orcids":["https://orcid.org/0009-0000-2889-4470"]},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yiheng Zhang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Shenzhen, China","Tencent Visvise, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-2889-4470","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Tencent Visvise, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152678296","display_name":"Peng Li","orcid":"https://orcid.org/0009-0004-9736-5264","observed_orcids":["https://orcid.org/0009-0004-9736-5264"]},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0004-9736-5264","affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136470922","display_name":"Zixing Zhao","orcid":"https://orcid.org/0009-0002-1132-9859","observed_orcids":["https://orcid.org/0009-0002-1132-9859"]},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixing Zhao","raw_affiliation_strings":["Tencent Visvise, Shen Zhen, China"],"raw_orcid":"https://orcid.org/0009-0002-1132-9859","affiliations":[{"raw_affiliation_string":"Tencent Visvise, Shen Zhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152610561","display_name":"Honghua Chen","orcid":"https://orcid.org/0000-0001-7473-1146","observed_orcids":["https://orcid.org/0000-0001-7473-1146"]},"institutions":[{"id":"https://openalex.org/I165488957","display_name":"Lingnan University","ror":"https://ror.org/0563pg902","country_code":"HK","type":"education","lineage":["https://openalex.org/I165488957"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Honghua Chen","raw_affiliation_strings":["Lingnan University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7473-1146","affiliations":[{"raw_affiliation_string":"Lingnan University, Hong Kong, China","institution_ids":["https://openalex.org/I165488957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707943","display_name":"Yaqing Zhang","orcid":"https://orcid.org/0000-0001-8546-5795","observed_orcids":["https://orcid.org/0000-0001-8546-5795","https://orcid.org/0000-0003-0970-8075"]},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yaqing Zhang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Shenzhen, China","Tencent Visvise, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0970-8075","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Tencent Visvise, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152676475","display_name":"Le Wan","orcid":"https://orcid.org/0000-0002-9675-010X","observed_orcids":["https://orcid.org/0000-0002-9675-010X"]},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wan","raw_affiliation_strings":["Tencent Visvise, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9675-010X","affiliations":[{"raw_affiliation_string":"Tencent Visvise, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152726459","display_name":"Zhiyang Dou","orcid":"https://orcid.org/0000-0003-0186-8269","observed_orcids":["https://orcid.org/0000-0003-0186-8269"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyang Dou","raw_affiliation_strings":["MIT, Cambriage, USA"],"raw_orcid":"https://orcid.org/0000-0003-0186-8269","affiliations":[{"raw_affiliation_string":"MIT, Cambriage, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152683212","display_name":"Cheng Lin","orcid":"https://orcid.org/0000-0002-3335-6623","observed_orcids":["https://orcid.org/0000-0002-3335-6623"]},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Cheng Lin","raw_affiliation_strings":["Macau University of Science and Technology, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-3335-6623","affiliations":[{"raw_affiliation_string":"Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152722557","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0003-2933-5667","observed_orcids":["https://orcid.org/0000-0003-2933-5667"]},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-2933-5667","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152743667","display_name":"Mingqiang Wei","orcid":"https://orcid.org/0000-0003-0429-490X","observed_orcids":["https://orcid.org/0000-0003-0429-490X"]},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqiang Wei","raw_affiliation_strings":["Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-0429-490X","affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5152611163","display_name":"Wenping Wang","orcid":"https://orcid.org/0000-0002-2284-3952","observed_orcids":["https://orcid.org/0000-0002-2284-3952"]},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenping Wang","raw_affiliation_strings":["Texas A&M University, College Station, USA"],"raw_orcid":"https://orcid.org/0000-0002-2284-3952","affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9258,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92881706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"45","issue":"6","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0003000000142492354,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/3d-part-segmentation","display_name":"3D part segmentation","score":1.0},{"id":"https://openalex.org/keywords/multimodal-foundation-models","display_name":"multimodal foundation models","score":0.7820000052452087},{"id":"https://openalex.org/keywords/text-guided-segmentation","display_name":"text-guided segmentation","score":0.8180000185966492},{"id":"https://openalex.org/keywords/interactive-image-segmentation","display_name":"interactive segmentation","score":0.9589999914169312},{"id":"https://openalex.org/keywords/semantic-decomposition","display_name":"semantic decomposition","score":0.7519999742507935},{"id":"https://openalex.org/keywords/3d-shape-understanding","display_name":"3D shape understanding","score":0.6240000128746033}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8113999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663000226020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.566100001335144},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5218999981880188},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43650001287460327},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4077000021934509},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.376800000667572},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3675999939441681},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3598000109195709},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32170000672340393},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3842577","doi":"https://doi.org/10.1145/3842577","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3842577","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2609.25832","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.25832","pdf_url":"https://arxiv.org/pdf/2609.25832","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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.2609.25832","doi":"https://doi.org/10.48550/arxiv.2609.25832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.25832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"}],"best_oa_location":{"id":"doi:10.1145/3842577","doi":"https://doi.org/10.1145/3842577","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3842577","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4468002489","display_name":null,"funder_award_id":"62572240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5387761213","display_name":null,"funder_award_id":"62172218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214246149.pdf","grobid_xml":"https://content.openalex.org/works/W7214246149.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2553307952","https://openalex.org/W2902330865","https://openalex.org/W2938428612","https://openalex.org/W2979750740","https://openalex.org/W4214755140","https://openalex.org/W4226167525","https://openalex.org/W4365441113","https://openalex.org/W4382491206","https://openalex.org/W4386075863","https://openalex.org/W4386185600","https://openalex.org/W4387321091","https://openalex.org/W4389470803","https://openalex.org/W4390874324","https://openalex.org/W4390874575","https://openalex.org/W4394007259","https://openalex.org/W4402667891","https://openalex.org/W4402701534","https://openalex.org/W4402716107","https://openalex.org/W4402716423","https://openalex.org/W4402727018","https://openalex.org/W4402754134","https://openalex.org/W4404330874","https://openalex.org/W4404402981","https://openalex.org/W4404649834","https://openalex.org/W4415272877","https://openalex.org/W4415795791","https://openalex.org/W4416052922","https://openalex.org/W4416780398","https://openalex.org/W4416993491","https://openalex.org/W4417063364","https://openalex.org/W4417474429","https://openalex.org/W4417538703","https://openalex.org/W7117122923","https://openalex.org/W7118330517","https://openalex.org/W7127895970","https://openalex.org/W7133246057","https://openalex.org/W7133311709","https://openalex.org/W7133501137","https://openalex.org/W7160158679","https://openalex.org/W7167231475"],"related_works":["https://openalex.org/W7214975019","https://openalex.org/W7222980827","https://openalex.org/W7139143938","https://openalex.org/W4415330772","https://openalex.org/W4404003268","https://openalex.org/W7214885837","https://openalex.org/W4417291123","https://openalex.org/W4417063364","https://openalex.org/W7213333926","https://openalex.org/W4415252590"],"abstract_inverted_index":{"Part":[0],"segmentation":[1,18,35,77,155],"is":[2],"a":[3,28,69,88,106,132],"fundamental":[4],"problem":[5],"in":[6],"computer":[7],"graphics":[8],"and":[9,87,102,124,162],"3D":[10,16,75,153],"vision.":[11],"Recent":[12],"works":[13],"have":[14],"expanded":[15],"part":[17,34,61,76,95,113,120,154],"beyond":[19],"fixed":[20],"taxonomies,":[21],"but":[22],"existing":[23],"approaches":[24],"typically":[25],"only":[26],"address":[27],"specific":[29],"setting,":[30],"such":[31],"as":[32,50,78,97],"text-guided":[33,119],"or":[36],"point-based":[37],"interaction.":[38],"In":[39],"this":[40,64,165],"work,":[41],"we":[42,66],"argue":[43],"that":[44,73,109,142],"these":[45,138],"settings":[46,140],"can":[47],"be":[48],"unified":[49,70,116],"an":[51,84,157],"intent-conditioned":[52,158],"generative":[53,159],"problem,":[54],"where":[55],"different":[56],"prompts":[57],"specify":[58],"the":[59,149],"desired":[60],"decomposition.":[62,81],"To":[63],"end,":[65],"introduce":[67],"PartLLM,":[68],"multimodal":[71],"model":[72],"formulates":[74],"autoregressive":[79],"semantic":[80,94,126],"Conditioned":[82],"on":[83],"input":[85],"shape":[86],"user":[89],"prompt,":[90],"PartLLM":[91,143],"autoregressively":[92],"generates":[93],"hypotheses":[96],"queries":[98],"for":[99,164],"mask":[100],"prediction":[101],"feeds":[103],"them":[104],"to":[105],"decomposition-aware":[107],"decoder":[108],"jointly":[110],"predicts":[111],"coherent":[112],"masks.":[114],"This":[115],"design":[117],"supports":[118],"segmentation,":[121,123],"interactive":[122],"full-shape":[125],"decomposition":[127],"with":[128],"controllable":[129],"granularity":[130],"within":[131],"single":[133],"model.":[134],"Extensive":[135],"experiments":[136],"across":[137],"task":[139],"show":[141],"consistently":[144],"outperforms":[145],"task-specific":[146],"baselines,":[147],"demonstrating":[148],"effectiveness":[150],"of":[151],"unifying":[152],"under":[156],"formulation.":[160],"Code":[161],"data":[163],"paper":[166],"are":[167],"available":[168],"at":[169],"https://github.com/czvvd/PartLLM.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-09-25T00:00:00"}
