{"id":"https://openalex.org/W4405355483","doi":"https://doi.org/10.1109/iccv51701.2025.02360","title":"FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction","display_name":"FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4405355483","doi":"https://doi.org/10.1109/iccv51701.2025.02360"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.09573","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101925114","display_name":"Jiale Xu","orcid":"https://orcid.org/0000-0002-1806-1165"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Xu","raw_affiliation_strings":["Tencent PCG,ARC Lab,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent PCG,ARC Lab,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034339267","display_name":"Shenghua Gao","orcid":"https://orcid.org/0000-0003-1626-2040"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shenghua Gao","raw_affiliation_strings":["The University of Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,China","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102004349","display_name":"Ying Shan","orcid":"https://orcid.org/0000-0001-7673-8325"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Shan","raw_affiliation_strings":["Tencent PCG,ARC Lab,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent PCG,ARC Lab,China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":"25442","last_page":"25452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9577999711036682,"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":0.9577999711036682,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9556999802589417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7149733304977417},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5472084283828735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533901572227478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5265800356864929},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32901835441589355},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0938836932182312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7149733304977417},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5472084283828735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533901572227478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5265800356864929},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32901835441589355},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0938836932182312},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2412.09573","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.09573","pdf_url":"https://arxiv.org/pdf/2412.09573","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":"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.2412.09573","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.09573","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.09573","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.09573","pdf_url":"https://arxiv.org/pdf/2412.09573","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":"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405355483.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Sparse-view":[0],"reconstruction":[1,121],"models":[2],"typically":[3],"require":[4],"precise":[5],"camera":[6,35,77,140],"poses,":[7],"yet":[8],"obtaining":[9],"these":[10],"parameters":[11,36],"from":[12,29],"sparse-view":[13,31],"images":[14,32],"remains":[15],"challenging.":[16],"We":[17,83],"introduce":[18],"FreeSplatter,":[19],"a":[20,42,64,105],"scalable":[21],"feed-forward":[22],"framework":[23],"that":[24],"generates":[25],"high-quality":[26],"3D":[27,60,73],"Gaussians":[28],"uncalibrated":[30],"while":[33,108,143],"estimating":[34],"within":[37,63],"seconds.":[38],"Our":[39],"approach":[40,122],"employs":[41],"streamlined":[43],"transformer":[44],"architecture":[45],"where":[46],"self-attention":[47],"blocks":[48],"facilitate":[49],"information":[50],"exchange":[51],"among":[52],"multi-view":[53],"image":[54],"tokens,":[55],"decoding":[56],"them":[57],"into":[58],"pixel-aligned":[59],"Gaussian":[61],"primitives":[62],"unified":[65],"reference":[66],"frame.":[67],"This":[68],"representation":[69],"enables":[70],"both":[71],"high-fidelity":[72],"modeling":[74],"and":[75,89],"efficient":[76],"parameter":[78],"estimation":[79,115],"using":[80],"off-the-shelf":[81],"solvers.":[82],"develop":[84],"two":[85],"specialized":[86],"variants--for":[87],"object-centric":[88],"scene-level":[90],"reconstruction--trained":[91],"on":[92],"comprehensive":[93],"datasets.":[94],"Remarkably,":[95],"FreeSplatter":[96,130],"outperforms":[97],"several":[98],"pose-dependent":[99],"Large":[100],"Reconstruction":[101],"Models":[102],"(LRMs)":[103],"by":[104],"notable":[106],"margin":[107],"achieving":[109],"comparable":[110],"or":[111],"even":[112],"better":[113],"pose":[114,141],"accuracy":[116],"compared":[117],"to":[118],"state-of-the-art":[119],"pose-free":[120],"MASt3R":[123],"in":[124],"challenging":[125],"benchmarks.":[126],"Beyond":[127],"technical":[128],"benchmarks,":[129],"streamlines":[131],"text/image-to-3D":[132],"content":[133],"creation":[134],"pipelines,":[135],"eliminating":[136],"the":[137],"complexity":[138],"of":[139],"management":[142],"delivering":[144],"exceptional":[145],"visual":[146],"fidelity.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}