{"id":"https://openalex.org/W7160991877","doi":"https://doi.org/10.48550/arxiv.2605.12027","title":"4DVGGT-D: 4D Visual Geometry Transformer with Improved Dynamic Depth Estimation","display_name":"4DVGGT-D: 4D Visual Geometry Transformer with Improved Dynamic Depth Estimation","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160991877","doi":"https://doi.org/10.48550/arxiv.2605.12027"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12027","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.12027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136021669","display_name":"Ying Zang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zang, Ying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074202298","display_name":"Xuanyi Liu","orcid":"https://orcid.org/0000-0001-7542-3882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xuanyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129707249","display_name":"Yidong Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Yidong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136069209","display_name":"Deyi Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Deyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035026498","display_name":"Chaotao Ding","orcid":"https://orcid.org/0000-0002-6565-0640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Chaotao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698140","display_name":"Yuanqi Hu","orcid":"https://orcid.org/0000-0001-9179-6603"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yuanqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136061657","display_name":"Qi Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136008505","display_name":"Xuanfu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xuanfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136077457","display_name":"Jin Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136077223","display_name":"Lingyun Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Lingyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054714748","display_name":"Tianrun Chen","orcid":"https://orcid.org/0000-0003-0177-0157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Tianrun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074956841","display_name":"Lanyun Zhu","orcid":"https://orcid.org/0000-0001-7309-3330"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Lanyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5136021669"],"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/T10531","display_name":"Advanced Vision and Imaging","score":0.5350000262260437,"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":0.5350000262260437,"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":0.11479999870061874,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.08020000159740448,"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/monocular","display_name":"Monocular","score":0.492000013589859},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.3702000081539154},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3628000020980835},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.36149999499320984},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.33340001106262207},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.32019999623298645},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3174999952316284},{"id":"https://openalex.org/keywords/geometric-primitive","display_name":"Geometric primitive","score":0.3066999912261963}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6090999841690063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960999727249146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838000178337097},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.399399995803833},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2953999936580658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29170000553131104},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12027","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12027","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"dynamic":[1,27,107,129],"4D":[2,167,191],"scenes":[3],"from":[4,32,63,106],"monocular":[5],"videos":[6],"is":[7,73],"a":[8,33,54,66,97,110,116,151],"fundamental":[9,34],"yet":[10],"challenging":[11],"task.":[12],"While":[13],"recent":[14],"3D":[15],"foundation":[16],"models":[17],"provide":[18],"strong":[19],"geometric":[20,86],"priors,":[21],"their":[22],"performance":[23,188],"significantly":[24],"degrades":[25],"in":[26,65,189],"environments.":[28],"This":[29],"degradation":[30],"stems":[31],"tension:":[35],"the":[36,76,81,124,198],"inherent":[37],"coupling":[38],"of":[39,92,200],"camera":[40,82],"ego-motion":[41],"and":[42,139,176],"object":[43],"motion":[44],"within":[45],"global":[46],"attention":[47],"mechanisms.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"novel,":[55],"training-free":[56],"progressive":[57],"decoupling":[58],"framework":[59],"that":[60,102,121,146,171],"disentangles":[61],"dynamics":[62],"statics":[64],"principled,":[67],"coarse-to-fine":[68],"manner.":[69],"Our":[70],"core":[71],"insight":[72],"to":[74],"resolve":[75],"tension":[77],"by":[78,85],"first":[79],"stabilizing":[80],"pose,":[83],"followed":[84],"refinement.":[87],"Specifically,":[88],"our":[89,172,184],"approach":[90,185],"consists":[91],"three":[93],"synergistic":[94],"components:":[95],"(1)":[96],"Dynamic-Mask-Guided":[98],"Pose":[99],"Decoupling":[100],"module":[101],"isolates":[103],"pose":[104],"estimation":[105],"interference,":[108],"yielding":[109],"stable":[111],"motion-free":[112],"reference":[113],"frame;":[114],"(2)":[115],"Topological":[117],"Subspace":[118],"Surgery":[119],"mechanism":[120],"orthogonally":[122],"decomposes":[123],"depth":[125,148],"manifold,":[126],"safely":[127],"preserving":[128],"objects":[130],"while":[131],"injecting":[132],"refined,":[133],"mask-aware":[134],"geometry":[135],"into":[136],"static":[137],"regions;":[138],"(3)":[140],"an":[141],"Information-Theoretic":[142],"Confidence-Aware":[143],"Fusion":[144],"strategy":[145],"formulates":[147],"integration":[149],"as":[150],"heteroscedastic":[152],"Bayesian":[153],"inference":[154],"problem,":[155],"adaptively":[156],"blending":[157],"multi-pass":[158],"predictions":[159],"via":[160],"inverse-variance":[161],"weighting.":[162],"Extensive":[163],"experiments":[164],"on":[165],"standard":[166],"reconstruction":[168,193],"benchmarks":[169],"demonstrate":[170],"method":[173],"achieves":[174],"consistent":[175],"substantial":[177],"improvements":[178],"across":[179],"principal":[180],"point-cloud":[181],"metrics.":[182],"Notably,":[183],"shows":[186],"competitive":[187],"robust":[190],"scene":[192],"without":[194],"requiring":[195],"fine-tuning,":[196],"suggesting":[197],"potential":[199],"mathematically":[201],"grounded":[202],"dynamic-static":[203],"disentanglement.":[204]},"counts_by_year":[],"updated_date":"2026-05-14T06:16:12.342656","created_date":"2026-05-14T00:00:00"}