{"id":"https://openalex.org/W4413947129","doi":"https://doi.org/10.1109/icra55743.2025.11128324","title":"Hash-GS: Anchor-Based 3D Gaussian Splatting with Multi-Resolution Hash Encoding for Efficient Scene Reconstruction","display_name":"Hash-GS: Anchor-Based 3D Gaussian Splatting with Multi-Resolution Hash Encoding for Efficient Scene Reconstruction","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413947129","doi":"https://doi.org/10.1109/icra55743.2025.11128324"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11128324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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":null,"display_name":"Yijia Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijia Xie","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016611001","display_name":"Yuhang Lin","orcid":"https://orcid.org/0000-0001-9446-2625"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Lin","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085347007","display_name":"Laijian Li","orcid":"https://orcid.org/0009-0002-3041-5170"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laijian Li","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329790","display_name":"Lina Liu","orcid":"https://orcid.org/0000-0001-6483-1557"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Liu","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101670321","display_name":"Xiaobin Wei","orcid":"https://orcid.org/0000-0003-2369-0174"},"institutions":[{"id":"https://openalex.org/I4210165591","display_name":"Network Group (Czechia)","ror":"https://ror.org/055hmgs82","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210165591"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Xiaobin Wei","raw_affiliation_strings":["WASU Media &#x0026; Network Co.Ltd"],"affiliations":[{"raw_affiliation_string":"WASU Media &#x0026; Network Co.Ltd","institution_ids":["https://openalex.org/I4210165591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724297","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-4822-8939"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080463555","display_name":"Jiajun Lv","orcid":"https://orcid.org/0000-0002-8545-9464"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Lv","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21371412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13964","last_page":"13971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9951000213623047,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9951000213623047,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9865000247955322,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775422930717468},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7572018504142761},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6215812563896179},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4999396800994873},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4437687397003174},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.410083144903183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35713234543800354},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0655207633972168},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.050735145807266235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775422930717468},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7572018504142761},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6215812563896179},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4999396800994873},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4437687397003174},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.410083144903183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35713234543800354},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0655207633972168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.050735145807266235},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11128324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1992642990","https://openalex.org/W2133665775","https://openalex.org/W2294343556","https://openalex.org/W2295329974","https://openalex.org/W2471962767","https://openalex.org/W2738551266","https://openalex.org/W2805521962","https://openalex.org/W2901982540","https://openalex.org/W2951159596","https://openalex.org/W2962785568","https://openalex.org/W3136656704","https://openalex.org/W3184957317","https://openalex.org/W3203570626","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4281690735","https://openalex.org/W4308205995","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312713450","https://openalex.org/W4312878643","https://openalex.org/W4313031684","https://openalex.org/W4385275811","https://openalex.org/W4385318467","https://openalex.org/W4386066489","https://openalex.org/W4386066696","https://openalex.org/W4386075614","https://openalex.org/W4388482374","https://openalex.org/W4390872696","https://openalex.org/W4390873066","https://openalex.org/W4390873526","https://openalex.org/W4397028793","https://openalex.org/W4400581036","https://openalex.org/W4402698355","https://openalex.org/W4402715988","https://openalex.org/W4402716359","https://openalex.org/W4402716405","https://openalex.org/W4402727541","https://openalex.org/W4402754225","https://openalex.org/W4402774471","https://openalex.org/W4402943799","https://openalex.org/W4403780586","https://openalex.org/W4403842151","https://openalex.org/W4404525393","https://openalex.org/W4404545288","https://openalex.org/W4404582847","https://openalex.org/W4404971322","https://openalex.org/W4410204460"],"related_works":["https://openalex.org/W2159024673","https://openalex.org/W3001987467","https://openalex.org/W2968165261","https://openalex.org/W1603161560","https://openalex.org/W4235381733","https://openalex.org/W2144265691","https://openalex.org/W1605991620","https://openalex.org/W113683524","https://openalex.org/W4385261619","https://openalex.org/W93624718"],"abstract_inverted_index":{"Realistic":[0],"3D":[1,34,109],"object":[2],"and":[3,16,101,115],"scene":[4,30],"reconstruction":[5,31],"is":[6],"pivotal":[7],"in":[8,54,76,142],"advancing":[9],"fields":[10],"such":[11],"as":[12],"world":[13],"model":[14],"simulation":[15],"embodied":[17],"intelligence.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,105],"introduce":[23,106],"Hash-GS,":[24],"a":[25,64],"storage-efficient":[26],"method":[27],"for":[28,118],"large-scale":[29,143],"using":[32],"anchor-based":[33],"Gaussian":[35],"Splatting":[36],"(3DGS).":[37],"The":[38],"vanilla":[39],"3DGS":[40],"struggles":[41],"with":[42,63],"high":[43],"memory":[44,82],"demands":[45],"due":[46],"to":[47,71,94,112],"the":[48,97],"large":[49],"number":[50,98],"of":[51,99],"primitives,":[52],"especially":[53,141],"complex":[55],"or":[56],"extensive":[57],"scenes.":[58,144],"Hash-GS":[59,132],"addresses":[60],"these":[61],"challenges":[62],"compact":[65,77],"representation":[66],"by":[67],"leveraging":[68],"high-dimensional":[69],"features":[70],"parameterize":[72],"primitive":[73],"properties,":[74],"stored":[75],"hash":[78],"tables,":[79],"which":[80],"reduces":[81],"usage":[83],"while":[84,136],"preserving":[85],"rendering":[86,120,139],"quality.":[87],"It":[88],"also":[89],"incorporates":[90],"adaptive":[91],"anchor":[92],"management":[93],"efficiently":[95],"control":[96],"anchors":[100],"neural":[102],"Gaussians.":[103],"Additionally,":[104],"an":[107],"analytic":[108],"smoothing":[110],"filter":[111],"mitigate":[113],"aliasing":[114],"support":[116],"Level-of-Detail":[117],"optimized":[119],"across":[121],"varying":[122],"intrinsic":[123],"parameters.":[124],"Experimental":[125],"results":[126],"on":[127],"several":[128],"datasets":[129],"demonstrate":[130],"that":[131],"improves":[133],"storage":[134],"efficiency":[135],"maintaining":[137],"competitive":[138],"performance,":[140]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
