{"id":"https://openalex.org/W7166594393","doi":"https://doi.org/10.48550/arxiv.2606.28321","title":"StructSplat: Generalizable 3D Gaussian Splatting from Uncalibrated Sparse Views","display_name":"StructSplat: Generalizable 3D Gaussian Splatting from Uncalibrated Sparse Views","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166594393","doi":"https://doi.org/10.48550/arxiv.2606.28321"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28321","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28321","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.28321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065214294","display_name":"Jiachen Zhao","orcid":"https://orcid.org/0009-0009-5347-3614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Jia-Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011842419","display_name":"Beiqi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Beiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139600265","display_name":"Xinyang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xinyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028380963","display_name":"Guangcong Wang","orcid":"https://orcid.org/0000-0002-6627-814X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guangcong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139575460","display_name":"Liqiang Nie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nie, Liqiang","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2538999915122986,"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":0.2538999915122986,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.20409999787807465,"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/T11019","display_name":"Image Enhancement Techniques","score":0.05849999934434891,"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/prior-probability","display_name":"Prior probability","score":0.5436999797821045},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5126000046730042},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4812000095844269},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4683000147342682},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45910000801086426},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4036000072956085},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.38659998774528503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3865000009536743},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.36649999022483826}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7368999719619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228000164031982},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6833999752998352},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5436999797821045},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4812000095844269},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.28940001130104065},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.26330000162124634},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2630999982357025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28321","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28321","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.28321","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28321","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":"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":{"We":[0],"present":[1],"StructSplat,":[2],"a":[3,40,54,74,96],"feed-forward":[4],"and":[5,33,37,46,61,94,104,144],"generalizable":[6],"3D":[7],"Gaussian":[8],"reconstruction":[9,44,69],"framework":[10],"that":[11,57,109],"operates":[12],"directly":[13],"on":[14,25,116,142,147],"uncalibrated":[15],"images":[16],"without":[17],"requiring":[18],"camera":[19,31,97],"parameters.":[20],"Existing":[21],"methods":[22],"either":[23],"rely":[24],"per-scene":[26],"optimization":[27],"or":[28],"assume":[29],"known":[30],"poses,":[32],"often":[34],"entangle":[35],"geometry":[36],"appearance":[38],"within":[39],"unified":[41],"backbone,":[42],"limiting":[43],"fidelity":[45],"generalization.":[47,106],"Our":[48],"key":[49],"idea":[50],"is":[51],"to":[52,79,90,100],"adopt":[53],"structured":[55],"representation":[56],"organizes":[58],"geometry,":[59],"semantic,":[60],"texture":[62,82],"cues":[63],"with":[64],"explicit":[65],"roles":[66],"in":[67],"the":[68],"process.":[70],"Specifically,":[71],"we":[72],"introduce":[73],"pixel-aligned":[75],"feature":[76],"injection":[77],"mechanism":[78],"enable":[80],"accurate":[81],"modeling":[83],"from":[84],"2D":[85],"observations,":[86],"incorporate":[87],"semantic-aware":[88],"priors":[89],"improve":[91,105],"global":[92],"consistency,":[93],"design":[95],"alignment":[98],"strategy":[99],"prevent":[101],"information":[102],"leakage":[103],"Experiments":[107],"show":[108],"our":[110,121,135],"method":[111,122,136],"significantly":[112],"outperforms":[113],"prior":[114],"approaches":[115],"challenging":[117],"benchmarks.":[118],"On":[119],"DL3DV,":[120],"achieves":[123,137],"28.045":[124],"PSNR,":[125],"surpassing":[126],"AnySplat":[127,141],"(22.377)":[128],"by":[129],"+5.67":[130],"dB.":[131],"In":[132],"cross-dataset":[133],"evaluation,":[134],"+1.94":[138],"dB":[139,146],"over":[140],"ACID":[143],"+1.72":[145],"RealEstate10K.":[148],"Project":[149],"page:":[150],"https://structsplat.github.io":[151],"Code:":[152],"https://github.com/J-C-Zhao/StructSplat":[153]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-30T00:00:00"}
