{"id":"https://openalex.org/W4413556756","doi":"https://doi.org/10.1109/3dv66043.2025.00080","title":"iFusion: Inverting Diffusion for Pose-Free Reconstruction From Sparse Views","display_name":"iFusion: Inverting Diffusion for Pose-Free Reconstruction From Sparse Views","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4413556756","doi":"https://doi.org/10.1109/3dv66043.2025.00080"},"language":"en","primary_location":{"id":"doi:10.1109/3dv66043.2025.00080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv66043.2025.00080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","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/A5066546337","display_name":"Chin-Hsuan Wu","orcid":"https://orcid.org/0000-0003-1547-0825"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chin-Hsuan Wu","raw_affiliation_strings":["National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101877290","display_name":"Yen-Chun Chen","orcid":"https://orcid.org/0000-0003-2161-9198"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yen-Chun Chen","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012726758","display_name":"Bolivar Solarte","orcid":"https://orcid.org/0000-0003-3518-755X"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bolivar Solarte","raw_affiliation_strings":["National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100578101","display_name":"Lu Yuan","orcid":"https://orcid.org/0009-0004-6399-4337"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lu Yuan","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008600","display_name":"Min Sun","orcid":"https://orcid.org/0000-0001-9598-8178"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min Sun","raw_affiliation_strings":["National Tsing Hua University"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066546337"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.3104,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84749516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"813","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9922000169754028,"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":0.9922000169754028,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9830999970436096,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.6768881678581238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5183118581771851},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4388667047023773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40571245551109314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236082196235657},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07248896360397339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6768881678581238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5183118581771851},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4388667047023773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40571245551109314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236082196235657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07248896360397339},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv66043.2025.00080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv66043.2025.00080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W297039922","https://openalex.org/W2111316763","https://openalex.org/W2471962767","https://openalex.org/W2962705366","https://openalex.org/W3034712732","https://openalex.org/W3035160371","https://openalex.org/W3043075211","https://openalex.org/W3107372911","https://openalex.org/W3109585842","https://openalex.org/W3112108866","https://openalex.org/W3141954417","https://openalex.org/W3176368002","https://openalex.org/W3180196270","https://openalex.org/W3186630079","https://openalex.org/W3196466825","https://openalex.org/W3202995573","https://openalex.org/W3204859697","https://openalex.org/W3216476011","https://openalex.org/W4214564845","https://openalex.org/W4221151978","https://openalex.org/W4285102264","https://openalex.org/W4294959213","https://openalex.org/W4312360915","https://openalex.org/W4312708649","https://openalex.org/W4312911498","https://openalex.org/W4312933868","https://openalex.org/W4313153331","https://openalex.org/W4313196659","https://openalex.org/W4382457527","https://openalex.org/W4385318467","https://openalex.org/W4386065257","https://openalex.org/W4386065515","https://openalex.org/W4386065784","https://openalex.org/W4386065887","https://openalex.org/W4386071682","https://openalex.org/W4386072096","https://openalex.org/W4386075631","https://openalex.org/W4386075660","https://openalex.org/W4386075859","https://openalex.org/W4386076018","https://openalex.org/W4386076027","https://openalex.org/W4386076275","https://openalex.org/W4386076279","https://openalex.org/W4386076476","https://openalex.org/W4386080645","https://openalex.org/W4386113267","https://openalex.org/W4390871705","https://openalex.org/W4390871887","https://openalex.org/W4390872507","https://openalex.org/W4390872990","https://openalex.org/W4390873054","https://openalex.org/W4390873331","https://openalex.org/W4390873542","https://openalex.org/W4390873915","https://openalex.org/W4390874165","https://openalex.org/W4390874424","https://openalex.org/W4399563654","https://openalex.org/W4399563713"],"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":{"We":[0,95],"present":[1],"iFusion,":[2],"a":[3,69,123],"novel":[4,71,107,124,155],"3D":[5,144],"object":[6],"reconstruction":[7,20,40,164],"framework":[8],"that":[9],"requires":[10],"only":[11],"two":[12],"views":[13,38,117,135],"with":[14,162],"unknown":[15],"camera":[16,45,101],"poses.":[17,46],"While":[18],"single-view":[19],"yields":[21],"visually":[22],"appealing":[23],"results,":[24],"it":[25],"can":[26],"deviate":[27],"significantly":[28],"from":[29],"the":[30,49,81,97,129,137,143],"actual":[31],"object,":[32],"especially":[33],"on":[34],"unseen":[35],"sides.":[36],"Additional":[37],"improve":[39],"fidelity":[41],"but":[42],"necessitate":[43],"known":[44],"However,":[47],"assuming":[48],"availability":[50],"of":[51,85,105],"pose":[52,58,102,152],"may":[53],"be":[54],"unrealistic,":[55],"and":[56,83,118,136,154,166],"existing":[57],"estimators":[59],"fail":[60],"in":[61,91,150],"sparseview":[62],"scenarios.":[63],"To":[64],"address":[65],"this,":[66],"we":[67,141],"harness":[68],"pre-trained":[70],"view":[72,125,156],"synthesis":[73],"diffusion":[74,98,111,139],"model,":[75,140],"which":[76],"embeds":[77],"implicit":[78],"knowledge":[79],"about":[80],"geometry":[82],"appearance":[84],"diverse":[86],"objects.":[87],"Our":[88],"strategy":[89],"unfolds":[90],"three":[92],"steps:":[93],"(1)":[94],"invert":[96],"model":[99,112],"for":[100,128],"estimation":[103,153],"instead":[104],"synthesizing":[106],"views.":[108],"(2)":[109],"The":[110],"is":[113],"finetuned":[114],"using":[115],"provided":[116],"estimated":[119],"poses,":[120],"turned":[121],"into":[122],"synthesizer":[126],"tailored":[127],"target":[130],"object.":[131,145],"(3)":[132],"Leveraging":[133],"registered":[134],"fine-tuned":[138],"reconstruct":[142],"Experiments":[146],"demonstrate":[147],"strong":[148],"performance":[149],"both":[151],"synthesis.":[157],"Moreover,":[158],"iFusion":[159],"seamlessly":[160],"integrates":[161],"various":[163],"methods":[165],"enhances":[167],"them.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
