{"id":"https://openalex.org/W7135055885","doi":"https://doi.org/10.48550/arxiv.2603.10125","title":"4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video","display_name":"4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7135055885","doi":"https://doi.org/10.48550/arxiv.2603.10125"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.10125","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.10125","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054220868","display_name":"Jin Lyu","orcid":"https://orcid.org/0009-0008-5922-4750"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyu, Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019986","display_name":"Liang An","orcid":"https://orcid.org/0000-0002-1028-3759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"An, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025516568","display_name":"Pujin Cheng","orcid":"https://orcid.org/0009-0000-4844-5146"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Pujin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128814674","display_name":"Yebin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yebin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128864317","display_name":"Xiaoying Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Xiaoying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.4812000095844269,"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":0.4812000095844269,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.186599999666214,"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/T11448","display_name":"Face recognition and analysis","score":0.07029999792575836,"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":0.6442999839782715},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5322999954223633},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4627000093460083},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.40560001134872437},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4000000059604645},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.37619999051094055}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8065999746322632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7918999791145325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983000040054321},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6442999839782715},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.37619999051094055},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.34389999508857727},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.10125","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.10125","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"4D":[0,17,53],"reconstruction":[1,19,54,61,193],"of":[2,24,169,187],"equine":[3],"family":[4],"(e.g.":[5],"horses)":[6],"from":[7,89,107],"monocular":[8],"video":[9],"is":[10,33],"important":[11],"for":[12,175],"animal":[13,18],"welfare.":[14],"Previous":[15],"mainstream":[16],"methods":[20],"require":[21],"joint":[22],"optimization":[23],"motion":[25,60,122,190],"and":[26,35,62,83,86,130,163,171,178,191],"appearance":[27,64,139,179,192],"over":[28],"a":[29,45,70,77,95,101,111,119,137],"whole":[30],"video,":[31],"which":[32,125],"time-consuming":[34],"sensitive":[36],"to":[37,80],"incomplete":[38],"observation.":[39],"In":[40],"this":[41],"work,":[42],"we":[43,68,93,117],"propose":[44],"novel":[46,96],"framework":[47],"called":[48],"4DEquine":[49,156,170],"by":[50],"disentangling":[51],"the":[52,167,185,189],"problem":[55],"into":[56],"two":[57],"sub-problems:":[58],"dynamic":[59],"static":[63],"reconstruction.":[65,180],"For":[66,91],"motion,":[67],"introduce":[69],"simple":[71],"yet":[72],"effective":[73],"spatio-temporal":[74],"transformer":[75],"with":[76],"post-optimization":[78],"stage":[79],"regress":[81],"smooth":[82],"pixel-aligned":[84],"pose":[85],"shape":[87],"sequences":[88],"video.":[90],"appearance,":[92],"design":[94],"feed-forward":[97],"network":[98],"that":[99],"reconstructs":[100],"high-fidelity,":[102],"animatable":[103],"3D":[104],"Gaussian":[105],"avatar":[106],"as":[108,110,134,136],"few":[109],"single":[112],"image.":[113],"To":[114],"assist":[115],"training,":[116],"create":[118],"large-scale":[120],"synthetic":[121,138,154],"dataset,":[123,140],"VarenPoser,":[124],"features":[126],"high-quality":[127],"surface":[128],"motions":[129],"diverse":[131],"camera":[132],"trajectories,":[133],"well":[135],"VarenTex,":[141],"comprising":[142],"realistic":[143],"multi-view":[144,148],"images":[145],"generated":[146],"through":[147],"diffusion.":[149],"While":[150],"training":[151],"only":[152],"on":[153,160],"datasets,":[155,165],"achieves":[157],"state-of-the-art":[158],"performance":[159],"real-world":[161],"APT36K":[162],"AiM":[164],"demonstrating":[166],"superiority":[168],"our":[172],"new":[173],"datasets":[174],"both":[176,188],"geometry":[177],"Comprehensive":[181],"ablation":[182],"studies":[183],"validate":[184],"effectiveness":[186],"network.":[194],"Project":[195],"page:":[196],"https://luoxue-star.github.io/4DEquine_Project_Page/.":[197]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-13T00:00:00"}
