{"id":"https://openalex.org/W4416286397","doi":"https://doi.org/10.1109/tpami.2025.3633828","title":"AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer","display_name":"AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416286397","doi":"https://doi.org/10.1109/tpami.2025.3633828","pmid":"https://pubmed.ncbi.nlm.nih.gov/41247908"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3633828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3633828","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102019986","display_name":"Liang An","orcid":"https://orcid.org/0000-0002-1028-3759"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang An","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1028-3759","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054220868","display_name":"Jin Lyu","orcid":"https://orcid.org/0009-0008-5922-4750"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Lyu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0008-5922-4750","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459666","display_name":"Li Lin","orcid":"https://orcid.org/0000-0002-9789-0825"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lin","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9789-0825","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025516568","display_name":"Pujin Cheng","orcid":"https://orcid.org/0009-0000-4844-5146"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pujin Cheng","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032875389","display_name":"Yebin Liu","orcid":"https://orcid.org/0000-0003-3215-0225"},"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":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3215-0225","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080168999","display_name":"Xiaoying Tang","orcid":"https://orcid.org/0000-0002-7549-6560"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Tang","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Jiaxing, China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7549-6560","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Jiaxing, China","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210092870"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31560582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"3","first_page":"3233","last_page":"3249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.1597999930381775,"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/T11448","display_name":"Face recognition and analysis","score":0.1597999930381775,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.15469999611377716,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.09889999777078629,"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/pose","display_name":"Pose","score":0.51910001039505},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5159000158309937},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.49070000648498535},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.48240000009536743},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44859999418258667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.43689998984336853},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.37630000710487366}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.699400007724762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389999985694885},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.49070000648498535},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.48240000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46149998903274536},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2870999872684479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28610000014305115}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001717","descriptor_name":"Birds","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D001717","descriptor_name":"Birds","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D001717","descriptor_name":"Birds","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D001717","descriptor_name":"Birds","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001717","descriptor_name":"Birds","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001717","descriptor_name":"Birds","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3633828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3633828","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41247908","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41247908","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3419736287","display_name":null,"funder_award_id":"T2422012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7508651374","display_name":"\u57fa\u4e8e\u591a\u56fe\u8c31\u5fae\u5206\u540c\u80da\u914d\u51c6\u53ca\u6df1\u5ea6\u5b66\u4e60\u7684\u591a\u7c92\u5ea6\u5168\u8111\u81ea\u52a8\u5206\u5272\u7b97\u6cd5\u7814\u7a76","funder_award_id":"62071210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8989291188","display_name":null,"funder_award_id":"62125107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327605","display_name":"Southern University of Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2555859288","https://openalex.org/W2798560564","https://openalex.org/W2887114371","https://openalex.org/W2952122856","https://openalex.org/W2963370189","https://openalex.org/W2963850211","https://openalex.org/W2963995996","https://openalex.org/W2983454547","https://openalex.org/W3022945784","https://openalex.org/W3035069238","https://openalex.org/W3049094777","https://openalex.org/W3086831972","https://openalex.org/W3109055604","https://openalex.org/W3181148101","https://openalex.org/W3196703792","https://openalex.org/W4214770715","https://openalex.org/W4223962547","https://openalex.org/W4312435448","https://openalex.org/W4312933868","https://openalex.org/W4313118666","https://openalex.org/W4385245566","https://openalex.org/W4386076579","https://openalex.org/W4386076655","https://openalex.org/W4388284323","https://openalex.org/W4388493728","https://openalex.org/W4389001889","https://openalex.org/W4390873054","https://openalex.org/W4390873618","https://openalex.org/W4390874306","https://openalex.org/W4394842277","https://openalex.org/W4396923333","https://openalex.org/W4399563597","https://openalex.org/W4399893238","https://openalex.org/W4402704593","https://openalex.org/W4402715826","https://openalex.org/W4402716015","https://openalex.org/W4402753909","https://openalex.org/W4402780387","https://openalex.org/W4403990342","https://openalex.org/W4404025125","https://openalex.org/W4405203461","https://openalex.org/W4413144745","https://openalex.org/W4413146723"],"related_works":[],"abstract_inverted_index":{"In":[0,81],"the":[1,19,52,60,145,195,244,253,262],"era":[2],"of":[3,10,29,56,62,76,100,132,148,215,241,255],"foundation":[4],"models,":[5],"achieving":[6],"a":[7,15,87,110,140,157,238],"unified":[8,88],"understanding":[9],"different":[11],"dynamic":[12],"objects":[13],"through":[14],"single":[16,141],"network":[17,54,117,259],"has":[18],"potential":[20],"to":[21,51],"empower":[22],"stronger":[23],"spatial":[24],"intelligence.":[25],"Moreover,":[26],"accurate":[27],"estimation":[28],"animal":[30],"pose":[31],"and":[32,59,94,124,126,135,181,219,226,261],"shape":[33],"across":[34,237],"diverse":[35],"species":[36],"is":[37,102,194,203],"essential":[38],"for":[39,90,153,171,200,205],"quantitative":[40],"analysis":[41],"in":[42,266],"biological":[43],"research.":[44],"However,":[45],"this":[46,82],"topic":[47],"remains":[48],"underexplored":[49],"due":[50],"limited":[53],"capacity":[55],"previous":[57],"methods":[58],"scarcity":[61],"comprehensive":[63],"multi-species":[64],"datasets.":[65],"To":[66,143,191],"address":[67],"these":[68],"limitations,":[69],"we":[70,84,155],"introduce":[71,156],"AniMer+,":[72],"an":[73,212],"extended":[74],"version":[75],"our":[77,229,257],"scalable":[78],"AniMer":[79],"framework.":[80],"paper,":[83],"focus":[85],"on":[86,211],"approach":[89],"reconstructing":[91],"mammals":[92],"(mammalia)":[93],"birds":[95],"(aves).":[96],"A":[97],"key":[98],"innovation":[99],"AniMer+":[101],"its":[103],"high-capacity,":[104],"family-aware":[105],"Vision":[106],"Transformer":[107],"(ViT)":[108],"incorporating":[109],"Mixture-of-Experts":[111],"(MoE)":[112],"design.":[113],"Its":[114],"architecture":[115,260],"partitions":[116],"layers":[118],"into":[119],"taxa-specific":[120],"components":[121],"(for":[122],"mammalia":[123],"aves)":[125],"taxa-shared":[127],"components,":[128],"enabling":[129],"efficient":[130],"learning":[131],"both":[133,256],"distinct":[134],"common":[136],"anatomical":[137],"features":[138],"within":[139],"model.":[142],"overcome":[144],"critical":[146],"shortage":[147],"3D":[149],"training":[150],"data,":[151],"especially":[152],"birds,":[154,201],"diffusion-based":[158],"conditional":[159],"image":[160],"generation":[161],"pipeline.":[162],"This":[163],"pipeline":[164],"produces":[165],"two":[166],"large-scale":[167],"synthetic":[168,227,264],"datasets:":[169],"CtrlAni3D":[170],"quadrupeds":[172],"(about":[173,183],"10":[174],"k":[175,185,217,221],"images":[176,186,223],"with":[177,187],"pixel-aligned":[178,188],"SMAL":[179],"labels)":[180],"CtrlAVES3D":[182,193],"7":[184],"AVES":[189],"labels).":[190],"note,":[192],"first":[196],"large-scale,":[197],"3D-annotated":[198],"dataset":[199],"which":[202],"crucial":[204],"resolving":[206],"single-view":[207],"depth":[208],"ambiguities.":[209],"Trained":[210],"aggregated":[213],"collection":[214],"41.3":[216],"mammalian":[218],"12.4":[220],"avian":[222],"(combining":[224],"real":[225],"data),":[228],"method":[230],"demonstrates":[231],"superior":[232],"performance":[233],"over":[234],"existing":[235],"approaches":[236],"wide":[239],"range":[240],"benchmarks,":[242],"including":[243],"challenging":[245],"out-of-domain":[246],"Animal":[247],"Kingdom":[248],"dataset.":[249],"Ablation":[250],"studies":[251],"confirm":[252],"effectiveness":[254],"novel":[258],"generated":[263],"datasets":[265],"enhancing":[267],"real-world":[268],"application":[269],"performance.":[270]},"counts_by_year":[],"updated_date":"2026-02-07T06:11:34.122080","created_date":"2025-11-17T00:00:00"}