{"id":"https://openalex.org/W4405469856","doi":"https://doi.org/10.1109/iccv51701.2025.00679","title":"GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs","display_name":"GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4405469856","doi":"https://doi.org/10.1109/iccv51701.2025.00679"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00679","doi":"https://doi.org/10.1109/iccv51701.2025.00679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00679","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.11258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111926973","display_name":"Xinli Xu","orcid":"https://orcid.org/0000-0002-7866-6027","observed_orcids":["https://orcid.org/0000-0002-7866-6027"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinli Xu","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024461965","display_name":"Wenhang Ge","orcid":"https://orcid.org/0009-0000-8726-7768","observed_orcids":["https://orcid.org/0009-0000-8726-7768"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhang Ge","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022303521","display_name":"Dicong Qiu","orcid":"https://orcid.org/0000-0003-3512-0427","observed_orcids":["https://orcid.org/0000-0003-3512-0427"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dicong Qiu","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":null,"display_name":"ZhiFei Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhiFei Chen","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dongyu Yan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyu Yan","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050783343","display_name":"Zhuoyun Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoyun Liu","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haoyu Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Zhao","raw_affiliation_strings":["HKUST(GZ)","Quwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]},{"raw_affiliation_string":"Quwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492535","display_name":"Haiyun Zhao","orcid":"https://orcid.org/0000-0002-8920-9016","observed_orcids":["https://orcid.org/0000-0002-8920-9016"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanfeng Zhao","raw_affiliation_strings":["HKUST(GZ)","Quwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]},{"raw_affiliation_string":"Quwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shunsi Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunsi Zhang","raw_affiliation_strings":["Quwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059207044","display_name":"Junwei Liang","orcid":"https://orcid.org/0000-0003-2219-5569","observed_orcids":["https://orcid.org/0000-0003-2219-5569"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Liang","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101938761","display_name":"Ying-Cong Chen","orcid":"https://orcid.org/0000-0002-9565-8205","observed_orcids":["https://orcid.org/0000-0002-9565-8205"]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Cong Chen","raw_affiliation_strings":["HKUST(GZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST(GZ)","institution_ids":["https://openalex.org/I4405261251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.641,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89588593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7231","last_page":"7240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8970000147819519,"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":0.8970000147819519,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.04500000178813934,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.03359999880194664,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/physical-property-estimation","display_name":"physical property estimation","score":0.9229999780654907},{"id":"https://openalex.org/keywords/3d-gaussians","display_name":"3D Gaussians","score":0.949999988079071},{"id":"https://openalex.org/keywords/material-segmentation","display_name":"material segmentation","score":0.6830000281333923},{"id":"https://openalex.org/keywords/training-free-framework","display_name":"training-free framework","score":0.4819999933242798},{"id":"https://openalex.org/keywords/segment-anything-model","display_name":"Segment Anything Model","score":0.628000020980835},{"id":"https://openalex.org/keywords/gpt-4v","display_name":"GPT-4V","score":0.8330000042915344},{"id":"https://openalex.org/keywords/material-point-method","display_name":"material point method","score":0.9150000214576721},{"id":"https://openalex.org/keywords/robotic-grasping","display_name":"robotic grasping","score":0.968999981880188}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4926000237464905},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.41698721051216125},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39099642634391785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3089510202407837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2969520092010498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2547498941421509}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00679","doi":"https://doi.org/10.1109/iccv51701.2025.00679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00679","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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:2412.11258","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11258","pdf_url":"https://arxiv.org/pdf/2412.11258","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.11258","doi":"https://doi.org/10.48550/arxiv.2412.11258","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.11258","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":"pmh:oai:arXiv.org:2412.11258","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11258","pdf_url":"https://arxiv.org/pdf/2412.11258","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405469856.pdf","grobid_xml":"https://content.openalex.org/works/W4405469856.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1674066309","https://openalex.org/W1820657498","https://openalex.org/W2031489346","https://openalex.org/W2041376653","https://openalex.org/W2122122381","https://openalex.org/W2138203286","https://openalex.org/W2144140523","https://openalex.org/W2152278838","https://openalex.org/W2166150182","https://openalex.org/W2784648116","https://openalex.org/W2805051407","https://openalex.org/W2922426839","https://openalex.org/W2978940263","https://openalex.org/W3018423233","https://openalex.org/W3109476562","https://openalex.org/W3163847416","https://openalex.org/W3165325652","https://openalex.org/W3165439418","https://openalex.org/W3177458596","https://openalex.org/W3186174046","https://openalex.org/W3207409407","https://openalex.org/W4200150166","https://openalex.org/W4225323055","https://openalex.org/W4226035577","https://openalex.org/W4282942073","https://openalex.org/W4286459425","https://openalex.org/W4306884676","https://openalex.org/W4312839164","https://openalex.org/W4322718191","https://openalex.org/W4385318467","https://openalex.org/W4386044453","https://openalex.org/W4386083144","https://openalex.org/W4388659309","https://openalex.org/W4390041933","https://openalex.org/W4390874575","https://openalex.org/W4399574574","https://openalex.org/W4402716032","https://openalex.org/W4402716153","https://openalex.org/W4402727529","https://openalex.org/W4402727537","https://openalex.org/W4402727915","https://openalex.org/W4402753913","https://openalex.org/W4403562064","https://openalex.org/W4415796021","https://openalex.org/W7133193597","https://openalex.org/W7133199285","https://openalex.org/W7133205816"],"related_works":["https://openalex.org/W7106688474","https://openalex.org/W7202298455","https://openalex.org/W7056775378","https://openalex.org/W7213511675","https://openalex.org/W4402727537","https://openalex.org/W4413917748","https://openalex.org/W4403562064","https://openalex.org/W4407093444","https://openalex.org/W4399455376","https://openalex.org/W7000626230"],"abstract_inverted_index":{"Estimating":[0],"physical":[1,22,38,53,78,89,108,159,185],"properties":[2,54,90,186],"for":[3,82,131,152],"visual":[4,188],"data":[5],"is":[6],"a":[7,48,76,99,140,147],"crucial":[8,181],"task":[9],"in":[10,37,113,183],"computer":[11],"vision,":[12],"graphics,":[13],"and":[14,24,117,169,195],"robotics,":[15],"underpinning":[16],"applications":[17,112],"such":[18],"as":[19],"augmented":[20],"reality,":[21],"simulation,":[23,123,168],"robotic":[25,118,170],"grasping.":[26,119],"However,":[27],"this":[28],"area":[29],"remains":[30],"under-explored":[31],"due":[32],"to":[33,57,74,95],"the":[34,63,69,88,126,157,173],"inherent":[35],"ambiguities":[36],"property":[39,79,109],"estimation.":[40],"To":[41],"address":[42],"these":[43],"challenges,":[44],"we":[45,61,86,124,138],"introduce":[46],"GaussianProperty,":[47],"training-free":[49],"framework":[50],"that":[51,104,145],"assigns":[52],"of":[55,66,72,175],"materials":[56],"3D":[58,96,105],"Gaussians.":[59],"Specifically,":[60],"integrate":[62],"segmentation":[64],"capability":[65,71],"SAM":[67],"with":[68,107],"recognition":[70],"GPT-4V(ision)":[73],"formulate":[75],"global-local":[77],"reasoning":[80],"module":[81],"2D":[83,93],"images.":[84],"Then":[85],"project":[87],"from":[91,187],"multi-view":[92],"images":[94],"Gaussians":[97,106],"using":[98],"voting":[100],"strategy.":[101],"We":[102],"demonstrate":[103],"annotations":[110],"enable":[111],"physics-based":[114,121,166],"dynamic":[115,122,133,167],"simulation":[116],"For":[120,135],"leverage":[125],"Material":[127],"Point":[128],"Method":[129],"(MPM)":[130],"realistic":[132],"simulation.":[134],"robot":[136],"grasping,":[137],"develop":[139],"grasping":[141,154,171],"force":[142,149],"prediction":[143],"strategy":[144],"estimates":[146],"safe":[148],"range":[150],"required":[151],"object":[153],"based":[155],"on":[156,163,200],"estimated":[158],"properties.":[160],"Extensive":[161],"experiments":[162],"material":[164],"segmentation,":[165],"validate":[172],"effectiveness":[174],"our":[176],"proposed":[177],"method,":[178],"highlighting":[179],"its":[180],"role":[182],"understanding":[184],"data.":[189],"Online":[190],"demo,":[191],"code,":[192],"more":[193],"cases":[194],"annotated":[196],"datasets":[197],"are":[198],"available":[199],"\\href{https://Gaussian-Property.github.io}{this":[201],"https":[202],"URL}.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-12-18T00:00:00"}
