{"id":"https://openalex.org/W4414740195","doi":"https://doi.org/10.1109/3dv69130.2026.00104","title":"MoAngelo: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes","display_name":"MoAngelo: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4414740195","doi":"https://doi.org/10.1109/3dv69130.2026.00104"},"language":"en","primary_location":{"id":"doi:10.1109/3dv69130.2026.00104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.15892","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086176386","display_name":"Mohamed Ramzy Ebbed","orcid":null},"institutions":[{"id":"https://openalex.org/I283854653","display_name":"Machine Intelligence Research Institute","ror":"https://ror.org/01h4ass90","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I283854653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Ebbed","raw_affiliation_strings":["University of Bonn, Lamarr Institute for Machine Learning and Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bonn, Lamarr Institute for Machine Learning and Artificial Intelligence","institution_ids":["https://openalex.org/I283854653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028382876","display_name":"Zorah L\u00e4hner","orcid":"https://orcid.org/0000-0003-0599-094X"},"institutions":[{"id":"https://openalex.org/I283854653","display_name":"Machine Intelligence Research Institute","ror":"https://ror.org/01h4ass90","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I283854653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zorah L\u00e4hner","raw_affiliation_strings":["University of Bonn, Lamarr Institute for Machine Learning and Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bonn, Lamarr Institute for Machine Learning and Artificial Intelligence","institution_ids":["https://openalex.org/I283854653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.00504416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1041","last_page":"1050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9923999905586243,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9923999905586243,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9869999885559082,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9830999970436096,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.7450000047683716},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.6085000038146973},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4812000095844269},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4431999921798706},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.430400013923645},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4124000072479248},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.3953000009059906},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.31459999084472656}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.7450000047683716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7386999726295471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7093999981880188},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.6085000038146973},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2720000147819519},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C41365986","wikidata":"https://www.wikidata.org/wiki/Q104153293","display_name":"Level of detail","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/3dv69130.2026.00104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.15892","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.15892","pdf_url":"https://arxiv.org/pdf/2509.15892","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.15892","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.15892","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:2509.15892","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.15892","pdf_url":"https://arxiv.org/pdf/2509.15892","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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":[],"abstract_inverted_index":{"Dynamic":[0],"scene":[1,108],"reconstruction":[2,17,85,91,109,165],"from":[3,110],"multi-view":[4],"videos":[5],"remains":[6],"a":[7,78,105],"fundamental":[8],"challenge":[9],"in":[10,23,65,96,159,167],"computer":[11],"vision.":[12],"While":[13],"recent":[14],"neural":[15],"surface":[16],"methods":[18,44,172],"have":[19],"achieved":[20],"remarkable":[21],"results":[22],"static":[24,89],"3D":[25,90],"reconstruction,":[26],"extending":[27],"these":[28],"approaches":[29,58],"with":[30,104,148],"comparable":[31],"quality":[32],"for":[33,60,81,152],"dynamic":[34,43,84,97],"scenes":[35],"introduces":[36],"significant":[37],"computational":[38],"and":[39,116,126],"representational":[40],"challenges.":[41],"Existing":[42],"focus":[45],"on":[46,130,173],"novel-view":[47],"synthesis,":[48],"therefore,":[49],"their":[50],"extracted":[51],"meshes":[52,68],"tend":[53],"to":[54,70,94,141,169],"be":[55,146],"noisy.":[56],"Even":[57],"aiming":[59],"geometric":[61],"fidelity":[62],"often":[63],"result":[64],"too":[66],"smooth":[67],"due":[69],"the":[71,74,88,111,124,131,139,149,157,160,174],"ill-posedness":[72],"of":[73],"problem.":[75],"We":[76,162],"present":[77],"novel":[79],"framework":[80],"highly":[82],"detailed":[83],"that":[86,100,122,144],"extends":[87],"method":[92],"NeuralAngelo":[93],"work":[95],"settings.":[98],"To":[99],"end,":[101],"we":[102],"start":[103],"high-quality":[106],"template":[107,125,136],"initial":[112],"frame":[113],"using":[114],"NeuralAngelo,":[115],"then":[117],"jointly":[118],"optimize":[119],"deformation":[120,150],"fields":[121],"track":[123],"refine":[127],"it":[128],"based":[129],"temporal":[132],"sequence.":[133],"This":[134],"flexible":[135],"allows":[137],"updating":[138],"geometry":[140],"include":[142],"changes":[143,158],"cannot":[145],"modeled":[147],"field,":[151],"instance":[153],"occluded":[154],"parts":[155],"or":[156],"topology.":[161],"show":[163],"superior":[164],"accuracy":[166],"comparison":[168],"previous":[170],"state-of-the-art":[171],"ActorsHQ":[175],"dataset.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}