{"id":"https://openalex.org/W7204199051","doi":"https://doi.org/10.48550/arxiv.2608.21849","title":"GaussVid: Sparse-View Gaussian Splatting with 3D-Aware Video Diffusion Priors","display_name":"GaussVid: Sparse-View Gaussian Splatting with 3D-Aware Video Diffusion Priors","publication_year":2026,"publication_date":"2026-08-22","ids":{"openalex":"https://openalex.org/W7204199051","doi":"https://doi.org/10.48550/arxiv.2608.21849"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.21849","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21849","pdf_url":"https://arxiv.org/pdf/2608.21849","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.21849","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124003297","display_name":"Xinhui Liu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133558437","display_name":"Can Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Can","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148094968","display_name":"Wei Jiang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148090460","display_name":"Wei Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124031168","display_name":"Dong Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Dong","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":true,"cited_by_count":1,"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":0.9814000129699707,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9814000129699707,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.012799999676644802,"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":0.0019000000320374966,"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/3d-gaussian-splatting","display_name":"3D Gaussian Splatting","score":0.921999990940094},{"id":"https://openalex.org/keywords/sparse-view-reconstruction","display_name":"sparse-view reconstruction","score":0.800000011920929},{"id":"https://openalex.org/keywords/video-diffusion-models","display_name":"video diffusion models","score":0.9319999814033508},{"id":"https://openalex.org/keywords/video-restoration","display_name":"video restoration","score":0.8169999718666077},{"id":"https://openalex.org/keywords/multi-view-consistency","display_name":"multi-view consistency","score":0.8259999752044678},{"id":"https://openalex.org/keywords/novel-view-synthesis","display_name":"novel view synthesis","score":0.7580000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840999960899353},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6848999857902527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6464999914169312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6313999891281128},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4490000009536743},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4302999973297119},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4239000082015991},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.33730000257492065},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32659998536109924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.2676999866962433},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.21849","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21849","pdf_url":"https://arxiv.org/pdf/2608.21849","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.21849","doi":"https://doi.org/10.48550/arxiv.2608.21849","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.21849","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.21849","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21849","pdf_url":"https://arxiv.org/pdf/2608.21849","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204199051.pdf","grobid_xml":"https://content.openalex.org/works/W7204199051.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W4366208220","https://openalex.org/W4393967358","https://openalex.org/W4404260636","https://openalex.org/W4409092337","https://openalex.org/W6929369832","https://openalex.org/W7141029954"],"related_works":["https://openalex.org/W6929369832","https://openalex.org/W7154490961","https://openalex.org/W7214037744","https://openalex.org/W7117470873","https://openalex.org/W7213473529","https://openalex.org/W7160997557","https://openalex.org/W7163705275","https://openalex.org/W7161204942","https://openalex.org/W4415251451","https://openalex.org/W7128055226"],"abstract_inverted_index":{"3D":[0,94],"Gaussian":[1],"Splatting":[2],"(3DGS)":[3],"has":[4],"achieved":[5],"remarkable":[6],"success":[7],"in":[8,50,170],"novel":[9,59],"view":[10],"synthesis;":[11],"however,":[12],"reconstructions":[13],"under":[14],"sparse":[15,70],"views":[16],"often":[17],"exhibit":[18],"noticeable":[19],"artifacts.":[20],"While":[21],"recent":[22],"video":[23,61,79,91,126],"diffusion":[24],"models":[25],"provide":[26],"strong":[27],"spatio-temporal":[28],"priors":[29],"for":[30,36],"3DGS":[31,71,78],"restoration,":[32],"directly":[33],"fine-tuning":[34],"them":[35],"restoration":[37,62,139,151],"is":[38],"suboptimal,":[39],"as":[40,110],"they":[41],"lack":[42],"awareness":[43],"of":[44,69],"the":[45,67,87,105,115,125,134,156],"underlying":[46],"multi-camera":[47],"geometry,":[48],"resulting":[49],"multi-view":[51,95,165],"inconsistencies.":[52],"In":[53],"this":[54],"work,":[55],"we":[56,74,97,119],"propose":[57],"a":[58,76,99],"3D-aware":[60],"framework":[63],"designed":[64],"to":[65,81],"enhance":[66],"quality":[68,172],"reconstruction.":[72],"Specifically,":[73],"construct":[75],"large-scale":[77],"dataset":[80],"enable":[82],"specialized":[83],"fine-tuning.":[84],"To":[85],"bridge":[86],"gap":[88],"between":[89],"2D":[90],"generation":[92,127],"and":[93,107,113,159,163],"constraints,":[96],"introduce":[98],"camera-conditioned":[100],"geometric":[101],"prior.":[102],"By":[103],"using":[104],"first":[106],"last":[108],"frames":[109],"boundary":[111],"anchors":[112],"encoding":[114],"corresponding":[116],"camera":[117],"relationships,":[118],"explicitly":[120],"inject":[121],"spatial":[122],"structure":[123],"into":[124],"pipeline.":[128],"This":[129],"boundary-anchored,":[130],"camera-aware":[131],"prior":[132],"guides":[133],"network":[135],"toward":[136],"geometrically":[137],"grounded":[138],"that":[140],"remains":[141],"coherent":[142],"across":[143],"viewpoints.":[144],"Extensive":[145],"experiments":[146],"show":[147],"that,":[148],"among":[149],"video-prior":[150],"methods,":[152],"our":[153],"approach":[154],"attains":[155],"best":[157],"pixel-":[158],"structure-level":[160],"fidelity":[161],"(PSNR/SSIM)":[162],"improves":[164],"consistency,":[166],"while":[167],"remaining":[168],"competitive":[169],"perceptual":[171],"(LPIPS).":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-08-26T00:00:00"}