{"id":"https://openalex.org/W4413557099","doi":"https://doi.org/10.1109/3dv66043.2025.00041","title":"FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent","display_name":"FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4413557099","doi":"https://doi.org/10.1109/3dv66043.2025.00041"},"language":"en","primary_location":{"id":"doi:10.1109/3dv66043.2025.00041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv66043.2025.00041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5071533672","display_name":"Cameron M. Smith","orcid":"https://orcid.org/0000-0002-8681-2856"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cameron Smith","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060045560","display_name":"David Charatan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Charatan","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075797855","display_name":"Ayush Tewari","orcid":"https://orcid.org/0000-0002-3805-4421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayush Tewari","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016061808","display_name":"Vincent Sitzmann","orcid":"https://orcid.org/0000-0002-0107-5704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vincent Sitzmann","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071533672"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5464,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95119163,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"389","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9811000227928162,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9811000227928162,"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":0.9679999947547913,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intrinsics","display_name":"Intrinsics","score":0.9745489954948425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676353812217712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5079334378242493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48949992656707764},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.47662651538848877},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.4423617124557495},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4417889416217804},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08252459764480591}],"concepts":[{"id":"https://openalex.org/C2908650547","wikidata":"https://www.wikidata.org/wiki/Q20999234","display_name":"Intrinsics","level":2,"score":0.9745489954948425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676353812217712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5079334378242493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48949992656707764},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.47662651538848877},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.4423617124557495},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4417889416217804},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08252459764480591},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv66043.2025.00041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv66043.2025.00041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5299999713897705,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1612997784","https://openalex.org/W2471962767","https://openalex.org/W2474281075","https://openalex.org/W2535547924","https://openalex.org/W2561074213","https://openalex.org/W2738551266","https://openalex.org/W2887825894","https://openalex.org/W2963706662","https://openalex.org/W2964254721","https://openalex.org/W2964288609","https://openalex.org/W2968257580","https://openalex.org/W3000674297","https://openalex.org/W3034275286","https://openalex.org/W3034968345","https://openalex.org/W3035030518","https://openalex.org/W3043075211","https://openalex.org/W3043971245","https://openalex.org/W3090386798","https://openalex.org/W3109585842","https://openalex.org/W3109908659","https://openalex.org/W3112108866","https://openalex.org/W3174541782","https://openalex.org/W3176368002","https://openalex.org/W3176602998","https://openalex.org/W3186630079","https://openalex.org/W3196466825","https://openalex.org/W3203570626","https://openalex.org/W3203828408","https://openalex.org/W3215023725","https://openalex.org/W4214564845","https://openalex.org/W4214579621","https://openalex.org/W4221151978","https://openalex.org/W4312326540","https://openalex.org/W4312369807","https://openalex.org/W4312421695","https://openalex.org/W4312955971","https://openalex.org/W4312969460","https://openalex.org/W4321512560","https://openalex.org/W4378450585","https://openalex.org/W4385318467","https://openalex.org/W4386066457","https://openalex.org/W4386066812","https://openalex.org/W4386071496","https://openalex.org/W4386072012","https://openalex.org/W4386075846","https://openalex.org/W4386076687","https://openalex.org/W4389334905","https://openalex.org/W4389335083","https://openalex.org/W4390871749","https://openalex.org/W4390872218","https://openalex.org/W4390872507","https://openalex.org/W4390872820","https://openalex.org/W4394804926","https://openalex.org/W4402715971","https://openalex.org/W4402727865","https://openalex.org/W4402753851","https://openalex.org/W4402775411","https://openalex.org/W4403877825","https://openalex.org/W4403906568"],"related_works":["https://openalex.org/W1987577928","https://openalex.org/W4408862830","https://openalex.org/W4387784774","https://openalex.org/W52997880","https://openalex.org/W2499900256","https://openalex.org/W4407571360","https://openalex.org/W199152256","https://openalex.org/W2949166008","https://openalex.org/W2035047744","https://openalex.org/W4313046826"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"FlowMap,":[3],"an":[4],"end-to-end":[5],"differentiable":[6,69],"method":[7,25,94,107,140],"that":[8,35,76,85],"solves":[9],"for":[10],"precise":[11],"camera":[12,86],"poses,":[13],"cam-era":[14],"intrinsics,":[15,43,73],"and":[16,44,53,74,88,147],"perframe":[17],"dense":[18,89],"depth":[19,90],"of":[20,30,59,71,123,133],"a":[21,31,149],"video":[22],"sequence.":[23],"Our":[24,106],"performs":[26],"per-video":[27],"gradient-descent":[28,113,143],"minimization":[29],"simple":[32],"least-squares":[33],"objective":[34],"compares":[36],"the":[37,57,121,125,130],"optical":[38,51],"flow":[39,52],"induced":[40],"by":[41,92],"depth,":[42,72],"poses":[45],"against":[46],"correspondences":[47],"obtained":[48],"via":[49],"off-the-shelf":[50],"point":[54,60],"tracking.":[55],"Alongside":[56],"use":[58],"tracks":[61],"to":[62,79],"encourage":[63],"long-term":[64],"geometric":[65],"consistency,":[66],"we":[67],"introduce":[68],"re-parameterizations":[70],"pose":[75],"are":[77],"amenable":[78],"first-order":[80],"optimization.":[81],"We":[82],"empirically":[83],"show":[84],"parameters":[87],"recovered":[91],"our":[93,139],"enable":[95],"photo-realistic":[96],"novel":[97,135],"view":[98,136],"synthesis":[99],"on":[100,129],"360\u00b0":[101,134],"trajectories":[102],"using":[103],"Gaussian":[104],"Splatting.":[105],"not":[108],"only":[109],"far":[110],"outperforms":[111],"prior":[112],"based":[114],"bundle":[115],"adjustment":[116],"methods,":[117],"but":[118],"surprisingly":[119],"approaches":[120],"accuracy":[122],"COLMAP,":[124],"state-of-the-art":[126],"SfM":[127],"method,":[128],"downstream":[131],"task":[132],"synthesis-even":[137],"though":[138],"is":[141],"purely":[142],"based,":[144],"fully":[145],"differentiable,":[146],"presents":[148],"complete":[150],"departure":[151],"from":[152],"conventional":[153],"SfM.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}