{"id":"https://openalex.org/W4409262809","doi":"https://doi.org/10.1109/wacv61041.2025.00082","title":"Adaptive and Temporally Consistent Gaussian Surfels for Multi-View Dynamic Reconstruction","display_name":"Adaptive and Temporally Consistent Gaussian Surfels for Multi-View Dynamic Reconstruction","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4409262809","doi":"https://doi.org/10.1109/wacv61041.2025.00082"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61041.2025.00082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010693026","display_name":"Decai Chen","orcid":"https://orcid.org/0000-0002-7005-1298"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Decai Chen","raw_affiliation_strings":["Fraunhofer HHI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer HHI","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114657103","display_name":"Brianne Oberson","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Brianne Oberson","raw_affiliation_strings":["Fraunhofer HHI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer HHI","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107063516","display_name":"Ingo Feldmann","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ingo Feldmann","raw_affiliation_strings":["Fraunhofer HHI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer HHI","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049085567","display_name":"Oliver Schreer","orcid":"https://orcid.org/0000-0001-6900-8287"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Schreer","raw_affiliation_strings":["Fraunhofer HHI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer HHI","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074580099","display_name":"Anna Hilsmann","orcid":"https://orcid.org/0000-0002-2086-0951"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anna Hilsmann","raw_affiliation_strings":["Fraunhofer HHI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer HHI","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009614926","display_name":"Peter Eisert","orcid":"https://orcid.org/0000-0001-8378-4805"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Eisert","raw_affiliation_strings":["Fraunhofer HHI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer HHI","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"742","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9848999977111816,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9848999977111816,"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":0.9526000022888184,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9192000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451070308685303},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49073326587677},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46643495559692383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37960970401763916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3756208121776581},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1417950987815857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451070308685303},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49073326587677},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46643495559692383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37960970401763916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3756208121776581},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1417950987815857},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv61041.2025.00082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/488660","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/488660","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1992642990","https://openalex.org/W2471962767","https://openalex.org/W2962785568","https://openalex.org/W2962793285","https://openalex.org/W3035678981","https://openalex.org/W3109908659","https://openalex.org/W3114462840","https://openalex.org/W3153220274","https://openalex.org/W4200382072","https://openalex.org/W4210573122","https://openalex.org/W4214731463","https://openalex.org/W4214748949","https://openalex.org/W4312253793","https://openalex.org/W4313165271","https://openalex.org/W4319300179","https://openalex.org/W4321488276","https://openalex.org/W4372283500","https://openalex.org/W4372349071","https://openalex.org/W4376311815","https://openalex.org/W4385318467","https://openalex.org/W4386066812","https://openalex.org/W4386075614","https://openalex.org/W4386075787","https://openalex.org/W4386075797","https://openalex.org/W4386076557","https://openalex.org/W4389540220","https://openalex.org/W4390871701","https://openalex.org/W4390872212","https://openalex.org/W4390872221","https://openalex.org/W4390872522","https://openalex.org/W4391158550","https://openalex.org/W4393248012","https://openalex.org/W4399574574","https://openalex.org/W4400581059","https://openalex.org/W4402704609","https://openalex.org/W4402704624","https://openalex.org/W4402713101","https://openalex.org/W4402715996","https://openalex.org/W4402727151","https://openalex.org/W4402727576","https://openalex.org/W4402727915","https://openalex.org/W4402753509","https://openalex.org/W4402753649","https://openalex.org/W4404132771","https://openalex.org/W6637373629","https://openalex.org/W6774631009","https://openalex.org/W6786970423","https://openalex.org/W6797770180","https://openalex.org/W6798177473","https://openalex.org/W6809983039","https://openalex.org/W6838746019","https://openalex.org/W6846158471","https://openalex.org/W6849327076","https://openalex.org/W6854607457","https://openalex.org/W6857808188","https://openalex.org/W6858527867","https://openalex.org/W6858942614","https://openalex.org/W6859022090","https://openalex.org/W6859253671","https://openalex.org/W6859257734","https://openalex.org/W6860060127","https://openalex.org/W6860477003","https://openalex.org/W6862886230","https://openalex.org/W6862942880","https://openalex.org/W6863222677","https://openalex.org/W6863557674","https://openalex.org/W6863842082","https://openalex.org/W6864650527","https://openalex.org/W6869026559","https://openalex.org/W6869125565","https://openalex.org/W6869189325","https://openalex.org/W6870173213"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"3D":[0],"Gaussian":[1],"Splatting":[2],"has":[3],"recently":[4],"achieved":[5],"notable":[6],"success":[7],"in":[8,18,114,120,134,145],"novel":[9,70,141],"view":[10,142],"synthesis":[11],"for":[12,30,59,72],"dynamic":[13,41,75,135],"scenes":[14,42],"and":[15,51,94,106,131,147],"ge-ometry":[16],"reconstruction":[17,33],"static":[19],"scenes.":[20,149],"Building":[21],"on":[22,152],"these":[23,64],"advancements,":[24],"early":[25],"methods":[26],"have":[27],"been":[28],"developed":[29],"dy-namic":[31,115],"surface":[32,136],"by":[34,117],"globally":[35],"optimizing":[36],"entire":[37],"sequences.":[38,61],"However,":[39],"reconstructing":[40,73],"with":[43],"significant":[44],"topology":[45],"changes,":[46],"emerging":[47],"or":[48],"disappearing":[49],"ob-jects,":[50],"rapid":[52],"movements":[53],"remains":[54],"a":[55,69,92],"substantial":[56],"chal-lenge,":[57],"particularly":[58],"long":[60],"To":[62,84],"address":[63],"issues,":[65],"we":[66,90,110],"propose":[67],"AT-GS,":[68],"method":[71,127],"high-quality":[74],"surfaces":[76,116],"from":[77],"multi-view":[78,154],"videos":[79],"through":[80],"per-frame":[81],"incremental":[82],"optimization.":[83],"avoid":[85],"local":[86],"minima":[87],"across":[88,123],"frames,":[89],"introduce":[91],"unified":[93],"adaptive":[95],"gradient-aware":[96],"densification":[97],"strategy":[98],"that":[99],"integrates":[100],"the":[101,158],"strengths":[102],"of":[103,160],"conventional":[104],"cloning":[105],"splitting":[107],"techniques.":[108],"Additionally,":[109],"reduce":[111],"temporal":[112,132],"jittering":[113],"ensuring":[118],"consistency":[119],"curvature":[121],"maps":[122],"consecutive":[124],"frames.":[125],"Our":[126],"achieves":[128],"superior":[129],"accuracy":[130],"coherence":[133],"re-construction,":[137],"delivering":[138],"high-fidelity":[139],"space-time":[140],"synthesis,":[143],"even":[144],"complex":[146],"challenging":[148],"Extensive":[150],"experiments":[151],"diverse":[153],"video":[155],"datasets":[156],"demonstrate":[157],"effectiveness":[159],"our":[161],"approach,":[162],"showing":[163],"clear":[164],"advantages":[165],"over":[166],"baseline":[167],"methods.":[168],"Project":[169],"page:":[170],"https://fraunhoferhhi.github.io/AT-GS":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}