{"id":"https://openalex.org/W4417000526","doi":"https://doi.org/10.1145/3763343","title":"Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation","display_name":"Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4417000526","doi":"https://doi.org/10.1145/3763343"},"language":"en","primary_location":{"id":"doi:10.1145/3763343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3763343","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5100838510","display_name":"Yongzhen Hu","orcid":"https://orcid.org/0009-0000-3433-3733"},"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":"Yongzhen Hu","raw_affiliation_strings":["Ant Group, Hangzhou, China","Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054061155","display_name":"Yihui Yang","orcid":"https://orcid.org/0009-0003-9496-3739"},"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":"Yihui Yang","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011625261","display_name":"Haotong Lin","orcid":"https://orcid.org/0000-0001-5862-3268"},"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":"Haotong Lin","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yifan Wang","orcid":"https://orcid.org/0009-0008-7565-7839"},"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":"Yifan Wang","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006558591","display_name":"Junting Dong","orcid":"https://orcid.org/0000-0003-0050-3989"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junting Dong","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064669133","display_name":"Yifu Deng","orcid":"https://orcid.org/0009-0001-5891-7108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifu Deng","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinyu Zhu","orcid":"https://orcid.org/0009-0003-9139-5190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyu Zhu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102397586","display_name":"Fan Jia","orcid":"https://orcid.org/0009-0009-5541-0449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Jia","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059021869","display_name":"Hujun Bao","orcid":"https://orcid.org/0000-0002-2662-0334"},"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":"Hujun Bao","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814482","display_name":"Xiaowei Zhou","orcid":"https://orcid.org/0000-0003-1926-5597"},"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":"Xiaowei Zhou","raw_affiliation_strings":["State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&amp;CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073087748","display_name":"Sida Peng","orcid":"https://orcid.org/0000-0001-6546-4525"},"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":"Sida Peng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100838510"],"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":0.3879404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"6","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5677000284194946,"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":0.5677000284194946,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.08179999887943268,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0551999993622303,"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/segmentation","display_name":"Segmentation","score":0.708899974822998},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5752999782562256},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4864000082015991},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48170000314712524},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.46709999442100525},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41429999470710754},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3921999931335449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37279999256134033},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991999983787537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7613999843597412},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.708899974822998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6413999795913696},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5752999782562256},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48170000314712524},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41429999470710754},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3921999931335449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.34869998693466187},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2718999981880188},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2574000060558319},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3763343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3763343","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7968366171","display_name":null,"funder_award_id":"2024YFB2809102","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1938204631","https://openalex.org/W2461005315","https://openalex.org/W2532511219","https://openalex.org/W2594519801","https://openalex.org/W2601243251","https://openalex.org/W2963896186","https://openalex.org/W3012494314","https://openalex.org/W3034550906","https://openalex.org/W3035172746","https://openalex.org/W3153220274","https://openalex.org/W3159481202","https://openalex.org/W3176327543","https://openalex.org/W3199003182","https://openalex.org/W4200150166","https://openalex.org/W4200382072","https://openalex.org/W4200420145","https://openalex.org/W4214731463","https://openalex.org/W4285981761","https://openalex.org/W4313165271","https://openalex.org/W4385318467","https://openalex.org/W4386075614","https://openalex.org/W4386075787","https://openalex.org/W4386075898","https://openalex.org/W4390872744","https://openalex.org/W4390874670","https://openalex.org/W4394593138","https://openalex.org/W4402660132","https://openalex.org/W4402713101","https://openalex.org/W4402716032","https://openalex.org/W4402716145","https://openalex.org/W4402727240","https://openalex.org/W4402727747","https://openalex.org/W4402727915","https://openalex.org/W4409346685","https://openalex.org/W4413147643"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,35,60,65,84,92,141,145,160,164,182,195,205],"problem":[4],"of":[5,37,98,185,208],"decomposed":[6,61],"4D":[7,24,62,168],"scene":[8,63,94],"reconstruction":[9,48,206],"from":[10,79],"multi-view":[11],"videos.":[12],"Recent":[13],"methods":[14,213],"achieve":[15],"this":[16,52],"by":[17,214],"lifting":[18],"video":[19,38,87],"segmentation":[20,39,81,147],"results":[21,199],"to":[22,46,58,75,110,112,122,128,140,163],"a":[23,70,96,119,177,215],"representation":[25],"through":[26],"differentiable":[27],"rendering":[28],"techniques.":[29],"Therefore,":[30],"they":[31],"heavily":[32],"rely":[33],"on":[34,135,200],"quality":[36,207],"maps,":[40,82],"which":[41],"are":[42],"often":[43],"unstable,":[44],"leading":[45],"unreliable":[47],"results.":[49],"To":[50],"overcome":[51],"challenge,":[53],"our":[54,150,209],"key":[55],"idea":[56],"is":[57],"represent":[59],"with":[64,101],"Freetime":[66,89,123],"FeatureGS":[67,90],"and":[68,104,189],"design":[69],"streaming":[71,183],"feature":[72,161],"learning":[73,162],"strategy":[74],"accurately":[76],"recover":[77],"it":[78,157],"per-image":[80],"eliminating":[83],"need":[85],"for":[86,174],"segmentation.":[88,169],"models":[91],"dynamic":[93],"as":[95],"set":[97],"Gaussian":[99,151],"primitives":[100,152],"learnable":[102],"features":[103,127,186],"linear":[105],"motion":[106],"ability,":[107],"allowing":[108],"them":[109],"move":[111,154],"neighboring":[113],"regions":[114],"over":[115,187],"time.":[116],"We":[117],"apply":[118],"contrastive":[120],"loss":[121],"FeatureGS,":[124],"forcing":[125],"primitive":[126],"be":[129],"close":[130],"or":[131],"far":[132],"apart":[133],"based":[134],"whether":[136],"their":[137],"projections":[138],"belong":[139],"same":[142],"instance":[143],"in":[144,176],"2D":[146],"map.":[148],"As":[149],"can":[153],"across":[155],"time,":[156],"naturally":[158],"extends":[159],"temporal":[165],"dimension,":[166],"achieving":[167],"Furthermore,":[170],"we":[171],"sample":[172],"observations":[173],"training":[175],"temporally":[178],"ordered":[179],"manner,":[180],"enabling":[181],"propagation":[184],"time":[188],"effectively":[190],"avoiding":[191],"local":[192],"minima":[193],"during":[194],"optimization":[196],"process.":[197],"Experimental":[198],"several":[201],"datasets":[202],"show":[203],"that":[204],"method":[210],"outperforms":[211],"recent":[212],"large":[216],"margin.":[217]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-04T00:00:00"}
