{"id":"https://openalex.org/W4415536188","doi":"https://doi.org/10.1145/3746027.3755533","title":"Open3DSearch: Zero-Shot Precise Retrieval of 3D Shapes Using Text Descriptions","display_name":"Open3DSearch: Zero-Shot Precise Retrieval of 3D Shapes Using Text Descriptions","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415536188","doi":"https://doi.org/10.1145/3746027.3755533"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5100335143","display_name":"Xiong Li","orcid":"https://orcid.org/0000-0002-5343-3921"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiong Li","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5343-3921","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yikang Yan","orcid":"https://orcid.org/0009-0006-3786-455X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikang Yan","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-3786-455X","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081043543","display_name":"Zhenyu Wen","orcid":"https://orcid.org/0000-0002-2914-912X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wen","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2914-912X","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101899043","display_name":"Yuan Qin","orcid":"https://orcid.org/0009-0001-7123-6155"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Yuan","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-7123-6155","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054549656","display_name":"Fangda Guo","orcid":"https://orcid.org/0000-0003-2401-6499"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangda Guo","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2401-6499","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626222","display_name":"Zhen Hong","orcid":"https://orcid.org/0000-0001-9956-3732"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Hong","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9956-3732","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0247-9866","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100335143"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83483186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6183","last_page":"6192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9991000294685364,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9991000294685364,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9976999759674072,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.61080002784729},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4871000051498413},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4805999994277954},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.447299987077713},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.3846000134944916},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.37139999866485596},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3560999929904938},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3474999964237213},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3285999894142151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292999863624573},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.61080002784729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462999939918518},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3560999929904938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3513000011444092},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3327000141143799},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3285999894142151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29760000109672546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":15,"referenced_works":["https://openalex.org/W1646289414","https://openalex.org/W1976579441","https://openalex.org/W2069870183","https://openalex.org/W2963048248","https://openalex.org/W4312818263","https://openalex.org/W4384207962","https://openalex.org/W4386071466","https://openalex.org/W4386075660","https://openalex.org/W4386076097","https://openalex.org/W4390189960","https://openalex.org/W4390872570","https://openalex.org/W4394625706","https://openalex.org/W4402727761","https://openalex.org/W4402727764","https://openalex.org/W4403791765"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,70,75,97,135,152],"rapid":[2],"growth":[3],"of":[4,77,138],"3D":[5,20,60,88,165],"content,":[6],"there":[7],"is":[8,85],"an":[9],"increasing":[10],"need":[11],"for":[12,18,110],"intelligent":[13],"systems":[14],"that":[15,176],"can":[16],"search":[17],"complex":[19],"shapes":[21,89,166],"using":[22],"simple":[23],"natural":[24],"language":[25],"queries.":[26],"However,":[27],"existing":[28],"approaches":[29],"face":[30],"significant":[31],"limitations.":[32],"They":[33],"rely":[34],"heavily":[35],"on":[36],"manually":[37],"labeled":[38],"datasets":[39],"and":[40,54,108,144,164,172],"use":[41],"fixed":[42],"similarity":[43],"thresholds":[44],"to":[45,52,73,86,99,125,157],"determine":[46],"matches,":[47],"which":[48],"restricts":[49],"their":[50],"ability":[51],"generalize":[53],"accurately":[55],"retrieve":[56],"novel":[57],"or":[58],"diverse":[59],"shapes.":[61],"To":[62,115,141],"bridge":[63],"these":[64],"gaps,":[65],"this":[66,117,148],"paper":[67],"introduces":[68],"Open3DSearch,":[69],"first":[71],"attempt":[72],"address":[74],"challenge":[76],"open-domain":[78,168],"text-to-shape":[79],"precise":[80,159],"retrieval.":[81],"Our":[82],"core":[83],"idea":[84],"transform":[87],"into":[90],"semantically":[91],"representative":[92],"2D":[93],"views,":[94],"thereby":[95],"enabling":[96],"task":[98],"be":[100],"handled":[101],"by":[102],"mature":[103],"large":[104],"vision-language":[105],"models":[106],"(LVLMs)":[107],"allowing":[109],"explicit":[111],"cross-modal":[112],"matching":[113],"judgments.":[114],"realize":[116],"concept,":[118],"we":[119,150],"design":[120],"a":[121],"view":[122],"rendering":[123],"strategy":[124],"mitigate":[126],"potential":[127],"information":[128],"degradation":[129],"during":[130],"3D-to-2D":[131],"conversion":[132],"while":[133],"capturing":[134],"maximal":[136],"amount":[137],"query-relevant":[139],"information.":[140],"evaluate":[142],"Open3DSearch":[143,177],"advance":[145],"research":[146],"in":[147,167],"field,":[149],"present":[151],"Uni3D-R":[153],"benchmark":[154],"dataset,":[155],"designed":[156],"simulate":[158],"associations":[160],"between":[161],"user":[162],"queries":[163],"contexts.":[169],"Extensive":[170],"quantitative":[171],"qualitative":[173],"experiments":[174],"demonstrate":[175],"achieves":[178],"state-of-the-art":[179],"results.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-25T00:00:00"}
