{"id":"https://openalex.org/W7171546025","doi":"https://doi.org/10.48550/arxiv.2607.22717","title":"TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians","display_name":"TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians","publication_year":2026,"publication_date":"2026-07-21","ids":{"openalex":"https://openalex.org/W7171546025","doi":"https://doi.org/10.48550/arxiv.2607.22717"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.22717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22717","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,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.22717","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083603018","display_name":"Marek Lisowski","orcid":"https://orcid.org/0000-0001-5288-2509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lisowski, Marek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143767981","display_name":"\u0141ukasz Smoli\u0144ski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smoli\u0144ski, \u0141ukasz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143815154","display_name":"Kornel Howil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Howil, Kornel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060480943","display_name":"Piotr Bili\u0144ski","orcid":"https://orcid.org/0000-0002-7023-3438"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bili\u0144ski, Piotr","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143832796","display_name":"Marcin Mazur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mazur, Marcin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143858218","display_name":"Przemys\u0142aw Spurek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spurek, Przemys\u0142aw","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7961000204086304,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7961000204086304,"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"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.08190000057220459,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.03539999946951866,"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/representation","display_name":"Representation (politics)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/opacity","display_name":"Opacity","score":0.48330000042915344},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.36559998989105225},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.3504999876022339},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.2980000078678131},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.295199990272522},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.28850001096725464},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.2827000021934509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749000191688538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.588699996471405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806000232696533},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5314000248908997},{"id":"https://openalex.org/C60056205","wikidata":"https://www.wikidata.org/wiki/Q691914","display_name":"Opacity","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32510000467300415},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2827000021934509},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.27619999647140503},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.22717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22717","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.22717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22717","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,"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Implicit":[1],"Neural":[2],"Representations":[3],"(INRs)":[4],"and":[5,43,82,101,127],"dynamic":[6],"3D":[7,67,94,144,151],"Gaussian":[8],"Splatting":[9],"(3DGS)":[10],"achieve":[11],"impressive":[12],"results":[13],"in":[14,63,100,136],"video":[15,57,134],"processing,":[16],"they":[17],"often":[18],"fall":[19],"short":[20],"of":[21,65,87,103,125],"producing":[22],"representations":[23,135],"that":[24,59,119],"are":[25],"easily":[26],"editable.":[27],"Recent":[28],"methods":[29],"address":[30],"this":[31,50],"by":[32,107],"introducing":[33],"complex":[34,61],"spatial":[35,95,117],"deformations":[36,62],"or":[37],"folded":[38],"distributions,":[39],"which":[40],"constrain":[41],"optimization":[42],"reduce":[44],"flexibility":[45],"for":[46],"downstream":[47],"editing.":[48],"In":[49],"paper,":[51],"we":[52],"introduce":[53],"TOM-GS,":[54],"an":[55],"editable":[56,133],"representation":[58],"forgoes":[60],"favor":[64],"regular":[66],"Gaussians":[68,145],"equipped":[69],"with":[70,149],"a":[71,78,115,122],"continuous":[72],"temporal":[73,80],"opacity":[74,86],"formulation.":[75],"By":[76],"assigning":[77],"learnable":[79],"mean":[81],"scale":[83],"to":[84,97],"the":[85,104],"each":[88],"Gaussian,":[89],"our":[90,112],"model":[91],"enables":[92],"static":[93,116],"components":[96],"fade":[98],"smoothly":[99],"out":[102],"scene.":[105],"Grounded":[106],"robust,":[108],"off-the-shelf":[109],"pose":[110],"estimation,":[111],"approach":[113],"maintains":[114],"geometry":[118],"naturally":[120],"supports":[121],"wide":[123],"range":[124],"manual":[126],"physics-based":[128],"edits.":[129],"TOM-GS":[130],"outperforms":[131],"prior":[132],"visual":[137],"fidelity,":[138],"while":[139],"its":[140],"reliance":[141],"on":[142],"standard":[143],"ensures":[146],"seamless":[147],"compatibility":[148],"established":[150],"editing":[152],"tools.":[153]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-07-29T00:00:00"}