{"id":"https://openalex.org/W7138016000","doi":"https://doi.org/10.1609/aaai.v40i7.37470","title":"Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting","display_name":"Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138016000","doi":"https://doi.org/10.1609/aaai.v40i7.37470"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i7.37470","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i7.37470","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37470/41432","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37470/41432","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129667542","display_name":"Shilong Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilong Jin","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129712475","display_name":"Haoran Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Duan","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026819979","display_name":"Litao Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Litao Hua","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086579686","display_name":"Wentao Huang","orcid":"https://orcid.org/0000-0001-8829-1831"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Huang","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129713448","display_name":"Yuan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"7","first_page":"5521","last_page":"5529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.16259999573230743,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.16259999573230743,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14550000429153442,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.13729999959468842,"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/debiasing","display_name":"Debiasing","score":0.7091000080108643},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6841999888420105},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.679099977016449},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5041000247001648},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49309998750686646},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4388999938964844},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.34529998898506165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666000127792358},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.7091000080108643},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6841999888420105},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.679099977016449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.546500027179718},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49309998750686646},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3806999921798706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37459999322891235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544999957084656},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.31700000166893005},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27379998564720154},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.25540000200271606},{"id":"https://openalex.org/C2779038628","wikidata":"https://www.wikidata.org/wiki/Q7248497","display_name":"Programming by demonstration","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i7.37470","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i7.37470","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37470/41432","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/37470","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/37470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i7.37470","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i7.37470","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37470/41432","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5936482548713684}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138016000.pdf","grobid_xml":"https://content.openalex.org/works/W7138016000.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Versatile":[0],"3D":[1,22,126,195,207,234],"tasks":[2],"(e.g.,":[3],"generation":[4],"or":[5],"editing)":[6],"distilling":[7],"Text-to-Image":[8],"(T2I)":[9],"diffusion":[10],"models":[11,27],"have":[12],"attracted":[13],"significant":[14],"research":[15],"interest":[16],"for":[17,129,140],"not":[18],"relying":[19],"on":[20],"extensive":[21],"training":[23],"data.":[24],"However,":[25],"T2I":[26,86],"exhibit":[28],"limitations":[29],"resulting":[30],"from":[31],"prior":[32,52,82,97],"view":[33,53,63,83,98,148,181],"bias,":[34],"which":[35,108],"produces":[36],"conflicting":[37],"appearances":[38],"between":[39],"different":[40,91,94],"views":[41],"of":[42,60,80,96,192,233],"an":[43],"object.":[44],"This":[45],"bias":[46,84],"causes":[47],"subject-words":[48,130],"to":[49,75,131,163,180,218],"preferentially":[50],"activate":[51],"features":[54],"during":[55],"cross-attention":[56],"(CA)":[57],"computation,":[58],"regardless":[59],"the":[61,77,81,117,141,152,165,184,190,216],"target":[62],"condition.":[64],"To":[65],"overcome":[66],"this":[67],"limitation,":[68],"we":[69,89,102],"conduct":[70],"a":[71,104,124,159,221,230],"comprehensive":[72],"mathematical":[73],"analysis":[74],"reveal":[76],"root":[78],"cause":[79],"in":[85,99,145,170],"models.":[87],"Moreover,":[88],"find":[90],"UNet-Layers":[92],"show":[93],"effects":[95],"CA.":[100],"Therefore,":[101],"propose":[103],"novel":[105],"framework,":[106],"TD-Attn,":[107],"addresses":[109],"multi-view":[110,227],"inconsistency":[111],"via":[112],"two":[113],"key":[114],"components:":[115],"(1)":[116],"3D-Aware":[118],"Attention":[119,154],"Guidance":[120],"Module":[121,156],"3D-AAG":[122],"constructs":[123],"view-consistent":[125],"attention":[127,196],"Gaussian":[128],"enforce":[132],"spatial":[133,143],"consistency":[134,228],"across":[135,229],"attention-focused":[136],"regions,":[137],"thereby":[138],"compensating":[139],"limited":[142],"information":[144],"2D":[146],"individual":[147],"CA":[149,174,186],"maps;":[150],"(2)":[151],"Hierarchical":[153],"Modulation":[155],"(HAM)":[157],"utilizes":[158],"semantic":[160],"guidance":[161],"tree":[162],"direct":[164],"Semantic":[166],"Response":[167],"Profiler":[168],"(SRP)":[169],"localizing":[171],"and":[172,205],"modulating":[173],"layers":[175],"that":[176,213],"are":[177],"highly":[178],"responsive":[179],"conditions,":[182],"where":[183],"enhanced":[185],"maps":[187],"further":[188],"support":[189],"construction":[191],"more":[193],"consistent":[194],"Gaussians.":[197],"Notably,":[198],"HAM":[199],"facilitates":[200],"semantic-specific":[201],"interventions,":[202],"enabling":[203],"controllable":[204],"precise":[206],"editing.":[208],"Extensive":[209],"experiments":[210],"firmly":[211],"establish":[212],"TD-Attn":[214],"has":[215],"potential":[217],"serve":[219],"as":[220],"transformative,":[222],"universal":[223],"plugin,":[224],"significantly":[225],"enhancing":[226],"wide":[231],"range":[232],"tasks.":[235]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-18T00:00:00"}