{"id":"https://openalex.org/W4394906646","doi":"https://doi.org/10.48550/arxiv.2404.10765","title":"RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting","display_name":"RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting","publication_year":2024,"publication_date":"2024-04-16","ids":{"openalex":"https://openalex.org/W4394906646","doi":"https://doi.org/10.48550/arxiv.2404.10765"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2404.10765","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.10765","pdf_url":"https://arxiv.org/pdf/2404.10765","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.10765","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070727188","display_name":"Ashkan Mirzaei","orcid":"https://orcid.org/0000-0002-0890-1204"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mirzaei, Ashkan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064838766","display_name":"Riccardo de Lutio","orcid":"https://orcid.org/0000-0002-2644-3876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De Lutio, Riccardo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013322606","display_name":"Seung Wook Kim","orcid":"https://orcid.org/0000-0002-2137-4736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Seung Wook","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030331254","display_name":"David Acuna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Acuna, David","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011931977","display_name":"Jonathan W. Kelly","orcid":"https://orcid.org/0000-0002-4317-273X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kelly, Jonathan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fidler, Sanja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078356081","display_name":"Igor Gilitschenski","orcid":"https://orcid.org/0000-0001-6426-365X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilitschenski, Igor","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025638024","display_name":"\u017dan Goj\u010di\u010d","orcid":"https://orcid.org/0000-0001-6392-2158"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gojcic, Zan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5070727188"],"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9901000261306763,"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":0.9901000261306763,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.989300012588501,"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":0.9868999719619751,"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/inpainting","display_name":"Inpainting","score":0.9396926164627075},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5951895117759705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4843696057796478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47488611936569214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4535828232765198},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32269084453582764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22208598256111145},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07371622323989868}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9396926164627075},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5951895117759705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4843696057796478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47488611936569214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4535828232765198},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32269084453582764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22208598256111145},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07371622323989868},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2404.10765","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.10765","pdf_url":"https://arxiv.org/pdf/2404.10765","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2404.10765","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.10765","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.10765","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.10765","pdf_url":"https://arxiv.org/pdf/2404.10765","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2135359786","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Neural":[0],"reconstruction":[1],"approaches":[2],"are":[3],"rapidly":[4],"emerging":[5],"as":[6,54,102,185],"the":[7,34,41,62,94,131,139,143,175],"preferred":[8],"representation":[9],"for":[10,29,165],"3D":[11,30,116],"scenes,":[12],"but":[13,76],"their":[14],"limited":[15],"editability":[16],"is":[17,49],"still":[18],"posing":[19],"a":[20,78,99,114,121,148],"challenge.":[21],"In":[22],"this":[23,85,108],"work,":[24],"we":[25,87,111],"propose":[26],"an":[27,50,103,125],"approach":[28],"scene":[31,43,188],"inpainting":[32,48,67,117,127],"--":[33],"task":[35,53],"of":[36,40,81,124,151,177],"coherently":[37],"replacing":[38],"parts":[39],"reconstructed":[42],"with":[44],"desired":[45],"content.":[46,64],"Scene":[47],"inherently":[51],"ill-posed":[52],"there":[55],"exist":[56],"many":[57],"solutions":[58],"that":[59],"plausibly":[60],"replace":[61],"missing":[63],"A":[65],"good":[66],"method":[68,118],"should":[69],"therefore":[70],"not":[71],"only":[72],"enable":[73],"high-quality":[74],"synthesis":[75],"also":[77],"high":[79,170],"degree":[80],"control.":[82],"Based":[83],"on":[84,89,120,180],"observation,":[86],"focus":[88],"enabling":[90],"explicit":[91],"control":[92],"over":[93],"inpainted":[95],"content":[96],"and":[97,155,190],"leverage":[98],"reference":[100,133],"image":[101,126],"efficient":[104],"means":[105],"to":[106,130,142],"achieve":[107],"goal.":[109],"Specifically,":[110],"introduce":[112],"RefFusion,":[113],"novel":[115],"based":[119],"multi-scale":[122],"personalization":[123,136],"diffusion":[128],"model":[129],"given":[132],"view.":[134],"The":[135],"effectively":[137],"adapts":[138],"prior":[140],"distribution":[141],"target":[144],"scene,":[145],"resulting":[146],"in":[147],"lower":[149],"variance":[150],"score":[152],"distillation":[153],"objective":[154],"hence":[156],"significantly":[157],"sharper":[158],"details.":[159],"Our":[160],"framework":[161],"achieves":[162],"state-of-the-art":[163],"results":[164],"object":[166,186],"removal":[167],"while":[168],"maintaining":[169],"controllability.":[171],"We":[172],"further":[173],"demonstrate":[174],"generality":[176],"our":[178],"formulation":[179],"other":[181],"downstream":[182],"tasks":[183],"such":[184],"insertion,":[187],"outpainting,":[189],"sparse":[191],"view":[192],"reconstruction.":[193]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}