{"id":"https://openalex.org/W7138607969","doi":"https://doi.org/10.1609/aaai.v40i16.38360","title":"MoReMouse: Monocular Reconstruction of Laboratory Mouse","display_name":"MoReMouse: Monocular Reconstruction of Laboratory Mouse","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138607969","doi":"https://doi.org/10.1609/aaai.v40i16.38360"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i16.38360","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38360","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38360/42322","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38360/42322","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039486014","display_name":"Yuan Zhong","orcid":"https://orcid.org/0000-0003-3548-823X"},"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":true,"raw_author_name":"Yuan Zhong","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129663143","display_name":"Jingxiang Sun","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":"Jingxiang Sun","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129667235","display_name":"Zhongbin Zhang","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":"Zhongbin Zhang","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019986","display_name":"Liang An","orcid":"https://orcid.org/0000-0002-1028-3759"},"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":"Liang An","raw_affiliation_strings":["Tsinghua University,"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129653794","display_name":"Yebin Liu","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":"Yebin Liu","raw_affiliation_strings":["Tsinghua University,"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039486014"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95419847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"16","first_page":"13548","last_page":"13556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.739799976348877,"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":0.739799976348877,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.041999999433755875,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.03709999844431877,"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/monocular","display_name":"Monocular","score":0.7998999953269958},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.608299970626831},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5572999715805054},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.5501999855041504},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.38339999318122864},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.37779998779296875},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.3659999966621399},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7998999953269958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713699996471405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7067999839782715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6435999870300293},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.5501999855041504},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38440001010894775},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C1223959","wikidata":"https://www.wikidata.org/wiki/Q1191960","display_name":"Stereo display","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i16.38360","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38360","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38360/42322","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"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i16.38360","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38360","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38360/42322","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138607969.pdf","grobid_xml":"https://content.openalex.org/works/W7138607969.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Laboratory":[0],"mice,":[1],"particularly":[2],"the":[3,35,58,63,88,128,142],"C57BL/6":[4,73,95],"strain,":[5],"are":[6],"essential":[7],"animal":[8,132],"models":[9],"in":[10,158,181],"biomedical":[11],"research.":[12],"However,":[13],"accurate":[14,102],"3D":[15,39,54,67,78,119],"surface":[16,120,152],"motion":[17],"reconstruction":[18,48,68,155],"of":[19,37,130],"mice":[20,47,96],"remains":[21],"a":[22,99,109,123],"significant":[23],"challenge":[24],"due":[25],"to":[26],"their":[27],"complex":[28],"non-rigid":[29],"deformations,":[30],"textureless":[31],"fur-covered":[32],"surfaces,":[33],"and":[34,154,164,169,184],"lack":[36],"realistic":[38],"mesh":[40],"models.":[41],"Moreover,":[42],"existing":[43,178],"visual":[44],"datasets":[45],"for":[46,72,94,127],"only":[49],"contain":[50],"sparse":[51],"viewpoints":[52],"without":[53],"geometries.":[55],"To":[56,75],"fill":[57],"gap,":[59],"we":[60,80,86,135,172],"introduce":[61],"MoReMouse,":[62],"first":[64,89],"monocular":[65],"dense":[66],"network":[69],"specifically":[70],"designed":[71],"mice.":[74],"achieve":[76],"high-fidelity":[77],"reconstructions,":[79],"present":[81],"three":[82],"key":[83],"innovations.":[84],"First,":[85],"create":[87],"high-fidelity,":[90],"dense-view":[91],"synthetic":[92],"dataset":[93],"by":[97],"rendering":[98],"realistic,":[100],"anatomically":[101],"Gaussian":[103],"mouse":[104,143],"avatar.":[105],"Second,":[106],"MoReMouse":[107,175],"leverages":[108],"transformer-based":[110],"feedforward":[111],"architecture":[112],"combined":[113],"with":[114],"triplane":[115],"representation,":[116],"enabling":[117],"high-quality":[118],"generation":[121],"from":[122],"single":[124],"image,":[125],"optimized":[126],"intricacies":[129],"small":[131],"morphology.":[133],"Third,":[134],"propose":[136],"geodesic-based":[137],"continuous":[138],"correspondence":[139],"embeddings":[140],"on":[141],"surface,":[144],"which":[145],"serve":[146],"as":[147],"strong":[148],"semantic":[149],"priors,":[150],"improving":[151],"consistency":[153],"stability,":[156],"especially":[157],"highly":[159],"dynamic":[160],"regions":[161],"like":[162],"limbs":[163],"tail.":[165],"Through":[166],"extensive":[167],"quantitative":[168],"qualitative":[170],"evaluations,":[171],"demonstrate":[173],"that":[174],"significantly":[176],"outperforms":[177],"open-source":[179],"methods":[180],"both":[182],"accuracy":[183],"robustness.":[185]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}