{"id":"https://openalex.org/W7143366287","doi":"https://doi.org/10.1111/cgf.70410","title":"Adaptive Spatio\u2010Temporal 3D Gaussian Splatting for Scenes with Oscillatory Motion","display_name":"Adaptive Spatio\u2010Temporal 3D Gaussian Splatting for Scenes with Oscillatory Motion","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7143366287","doi":"https://doi.org/10.1111/cgf.70410"},"language":"en","primary_location":{"id":"doi:10.1111/cgf.70410","is_oa":false,"landing_page_url":"https://doi.org/10.1111/cgf.70410","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-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/A5015777422","display_name":"Petros Tzathas","orcid":"https://orcid.org/0009-0008-4236-3199"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Petros Tzathas","raw_affiliation_strings":["Inria, Universit\u00e9 C\u00f4te d'Azur  France"],"raw_orcid":"https://orcid.org/0009-0008-4236-3199","affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 C\u00f4te d'Azur  France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101811763","display_name":"J. Hu","orcid":"https://orcid.org/0009-0003-4400-0862"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jeffrey Hu","raw_affiliation_strings":["Inria, Universit\u00e9 C\u00f4te d'Azur  France"],"raw_orcid":"https://orcid.org/0009-0003-4400-0862","affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 C\u00f4te d'Azur  France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068386055","display_name":"Andr\u00e9as Meuleman","orcid":"https://orcid.org/0000-0002-9899-6365"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9as Meuleman","raw_affiliation_strings":["Inria, Universit\u00e9 C\u00f4te d'Azur  France"],"raw_orcid":"https://orcid.org/0000-0002-9899-6365","affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 C\u00f4te d'Azur  France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017839579","display_name":"Guillaume Cordonnier","orcid":"https://orcid.org/0000-0003-0124-0180"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Cordonnier","raw_affiliation_strings":["Inria, Universit\u00e9 C\u00f4te d'Azur  France"],"raw_orcid":"https://orcid.org/0000-0003-0124-0180","affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 C\u00f4te d'Azur  France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036108100","display_name":"George Drettakis","orcid":"https://orcid.org/0000-0002-9254-4819"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"George Drettakis","raw_affiliation_strings":["Inria, Universit\u00e9 C\u00f4te d'Azur  France"],"raw_orcid":"https://orcid.org/0000-0002-9254-4819","affiliations":[{"raw_affiliation_string":"Inria, Universit\u00e9 C\u00f4te d'Azur  France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":{"value":3710,"currency":"USD","value_usd":3710},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31800672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5530999898910522,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5530999898910522,"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":0.12399999797344208,"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":0.0820000022649765,"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/monocular","display_name":"Monocular","score":0.5733000040054321},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5472000241279602},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5457000136375427},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.41600000858306885},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.40459999442100525},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3398999869823456},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3264000117778778},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.32359999418258667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434000015258789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672000288963318},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6302000284194946},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.41600000858306885},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3562000095844269},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C2992245049","wikidata":"https://www.wikidata.org/wiki/Q186563","display_name":"Fast motion","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1111/cgf.70410","is_oa":false,"landing_page_url":"https://doi.org/10.1111/cgf.70410","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05618519v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-05618519","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Graphics Forum, 2026, 45 (2), pp.e70410. ⟨10.1111/cgf.70410⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5794019515","display_name":"Empowering Neural Rendering Methods with Physically-Based Capabilities","funder_award_id":"101141721","funder_id":"https://openalex.org/F4320338453","funder_display_name":"HORIZON EUROPE European Research Council"}],"funders":[{"id":"https://openalex.org/F4320307786","display_name":"Adobe Systems","ror":"https://ror.org/059tvcg64"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320338453","display_name":"HORIZON EUROPE European Research Council","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2059017188","https://openalex.org/W2099244020","https://openalex.org/W2130495284","https://openalex.org/W2154865683","https://openalex.org/W2471962767","https://openalex.org/W3002765808","https://openalex.org/W3114462840","https://openalex.org/W3180589757","https://openalex.org/W3215769467","https://openalex.org/W4214731463","https://openalex.org/W4214748949","https://openalex.org/W4286616024","https://openalex.org/W4288242633","https://openalex.org/W4313165271","https://openalex.org/W4376647952","https://openalex.org/W4385318467","https://openalex.org/W4386065885","https://openalex.org/W4386066233","https://openalex.org/W4388555704","https://openalex.org/W4390872696","https://openalex.org/W4393248012","https://openalex.org/W4396786944","https://openalex.org/W4399574574","https://openalex.org/W4400141455","https://openalex.org/W4400573485","https://openalex.org/W4400573504","https://openalex.org/W4402660132","https://openalex.org/W4402713101","https://openalex.org/W4402716153","https://openalex.org/W4402753826","https://openalex.org/W4403757572","https://openalex.org/W4404526070","https://openalex.org/W4404965464","https://openalex.org/W4404965819","https://openalex.org/W4405079052","https://openalex.org/W4409262369","https://openalex.org/W4412673605","https://openalex.org/W4413145164","https://openalex.org/W4413147643","https://openalex.org/W4413155845"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Our":[1,162],"goal":[2],"is":[3,122],"to":[4,95,145],"reconstruct":[5],"scenes":[6],"with":[7,27,43,54,58],"stochastic,":[8],"incoherent":[9],"motion":[10,41,152],"such":[11],"as":[12],"leaves":[13],"moving":[14],"in":[15],"the":[16,103,110,147],"wind,":[17],"that":[18,30,74,92,116,137],"can":[19],"be":[20],"particularly":[21],"challenging":[22],"because":[23],"of":[24,105,112,150,153],"small":[25],"objects":[26],"similar":[28],"appearance":[29],"move":[31],"independently.":[32],"Previous":[33],"dynamic":[34,117],"3D":[35],"Gaussian":[36],"Splatting":[37],"solutions":[38],"either":[39],"represent":[40],"implicitly":[42],"neural":[44],"networks":[45],"achieving":[46],"good":[47],"quality":[48,166],"but":[49],"lower":[50,63],"framerate,":[51],"or":[52],"explicitly":[53],"a":[55,84,133],"function,":[56],"often":[57],"higher":[59,165,174],"training":[60],"times":[61],"and":[62,79,99,171],"quality.":[64],"To":[65,128],"overcome":[66],"these":[67],"limitations,":[68],"we":[69,100,131,156],"propose":[70],"an":[71,158],"explicit":[72,169],"method":[73,163],"introduces":[75],"adaptive":[76],"space\u2010time":[77],"densification":[78,86],"smoother":[80],"optimization.":[81],"We":[82,114],"introduce":[83,132,157],"new":[85],"approach":[87,136],"based":[88,108,140],"on":[89,109,141],"error":[90],"moments":[91],"are":[93],"used":[94,107],"guide":[96],"primitive":[97,142],"splitting,":[98],"adaptively":[101],"refine":[102],"number":[104],"keyframes":[106],"variance":[111],"error.":[113],"observe":[115],"reconstruction":[118],"from":[119],"monocular":[120],"video":[121],"hard":[123,148],"for":[124,176],"standard":[125],"optimization":[126],"pipelines.":[127],"counter":[129],"this,":[130],"weighted":[134],"Adam":[135],"improves":[138],"results":[139],"visibility.":[143],"Finally,":[144],"handle":[146],"case":[149],"independent":[151],"similar\u2010looking":[154],"objects,":[155],"image\u2010driven":[159],"as\u2010rigid\u2010as\u2010possible":[160],"regularization.":[161],"has":[164,172],"than":[167],"previous":[168],"solutions,":[170],"significantly":[173],"framerate":[175],"rendering.":[177]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-31T00:00:00"}