{"id":"https://openalex.org/W4413278203","doi":"https://doi.org/10.1109/icip55913.2025.11084718","title":"Pose-Free 3D Gaussian Splatting via Shape-Ray Estimation","display_name":"Pose-Free 3D Gaussian Splatting via Shape-Ray Estimation","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413278203","doi":"https://doi.org/10.1109/icip55913.2025.11084718"},"language":"en","primary_location":{"id":"doi:10.1109/icip55913.2025.11084718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002923421","display_name":"Youngju Na","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngju Na","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066002813","display_name":"TaeYeon Kim","orcid":"https://orcid.org/0000-0001-8197-2781"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taeyeon Kim","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040184379","display_name":"Jumin Lee","orcid":"https://orcid.org/0000-0002-1008-0118"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jumin Lee","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079733356","display_name":"Kyu Beom Han","orcid":"https://orcid.org/0009-0001-1196-4548"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyu Beom Han","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101741613","display_name":"Woo Jae Kim","orcid":"https://orcid.org/0000-0002-2826-4177"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo Jae Kim","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078173428","display_name":"Sung\u2010Eui Yoon","orcid":"https://orcid.org/0000-0002-7123-1119"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Eui Yoon","raw_affiliation_strings":["School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.4136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82455733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2348","last_page":"2353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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":0.9955999851226807,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9952999949455261,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250779271125793},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5394948124885559},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4382627308368683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4125324785709381},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4106507897377014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08177295327186584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250779271125793},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5394948124885559},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4382627308368683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4125324785709381},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4106507897377014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08177295327186584},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip55913.2025.11084718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2085905957","https://openalex.org/W2133665775","https://openalex.org/W2962785568","https://openalex.org/W2962793285","https://openalex.org/W2963557767","https://openalex.org/W2963627347","https://openalex.org/W3035257660","https://openalex.org/W3111114371","https://openalex.org/W4200150166","https://openalex.org/W4256017923","https://openalex.org/W4312253793","https://openalex.org/W4385318467","https://openalex.org/W4386071496","https://openalex.org/W4386076472","https://openalex.org/W4402715971","https://openalex.org/W4402727115","https://openalex.org/W4402733571","https://openalex.org/W4402774089","https://openalex.org/W4402775411","https://openalex.org/W4402781202","https://openalex.org/W4402816534","https://openalex.org/W4402951629","https://openalex.org/W4402952328","https://openalex.org/W4403761012","https://openalex.org/W4403942234","https://openalex.org/W4403946970","https://openalex.org/W4404002617","https://openalex.org/W4404545830"],"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":{"While":[0],"generalizable":[1,122],"3D":[2,66],"Gaussian":[3,47,89,105,123],"splatting":[4,48],"enables":[5],"efficient,":[6],"high-quality":[7],"rendering":[8],"of":[9,62],"unseen":[10],"scenes,":[11],"it":[12],"heavily":[13],"depends":[14],"on":[15,64,109],"precise":[16,104],"camera":[17,58],"poses":[18,27],"for":[19,102],"accurate":[20,26],"geometry.":[21],"In":[22],"real-world":[23,111],"scenarios,":[24],"obtaining":[25],"is":[28],"challenging,":[29],"leading":[30],"to":[31],"noisy":[32],"pose":[33,85],"estimates":[34],"and":[35,57],"geometric":[36],"misalignments.":[37],"To":[38],"address":[39],"this,":[40],"we":[41],"introduce":[42],"SHARE,":[43],"a":[44,70],"pose-free,":[45],"feed-forward":[46],"framework":[49],"that":[50,75,114],"overcomes":[51],"these":[52],"ambiguities":[53],"by":[54,83,94],"joint":[55],"shape":[56],"rays":[59],"estimation.":[60],"Instead":[61],"relying":[63],"explicit":[65],"transformations,":[67],"SHARE":[68],"builds":[69],"pose-aware":[71],"canonical":[72],"volume":[73],"representation":[74],"seamlessly":[76],"integrates":[77],"multi-view":[78],"information,":[79],"reducing":[80],"misalignment":[81],"caused":[82],"inaccurate":[84],"estimates.":[86],"Additionally,":[87],"anchor-aligned":[88],"prediction":[90],"enhances":[91],"scene":[92],"reconstruction":[93],"refining":[95],"local":[96],"geometry":[97],"around":[98],"coarse":[99],"anchors,":[100],"allowing":[101],"more":[103],"placement.":[106],"Extensive":[107],"experiments":[108],"diverse":[110],"datasets":[112],"show":[113],"our":[115],"method":[116],"achieves":[117],"robust":[118],"performance":[119],"in":[120],"pose-free":[121],"splatting.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
