{"id":"https://openalex.org/W4402503688","doi":"https://doi.org/10.48550/arxiv.2408.09042","title":"ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation","display_name":"ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4402503688","doi":"https://doi.org/10.48550/arxiv.2408.09042"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2408.09042","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.09042","pdf_url":"https://arxiv.org/pdf/2408.09042","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.09042","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050748634","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-2077-1246"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031992776","display_name":"Wei\u2010Yao Wang","orcid":"https://orcid.org/0000-0002-6551-1720"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Weiyao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070547839","display_name":"Pierre Gleize","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gleize, Pierre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055620900","display_name":"Matt Feiszli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feiszli, Matt","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":true,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9955000281333923,"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/estimation","display_name":"Estimation","score":0.6139140129089355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5926755666732788},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5827512145042419},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5603654384613037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5584295392036438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5025174617767334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3338509798049927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28718453645706177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19423747062683105},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1380915343761444}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6139140129089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5926755666732788},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5827512145042419},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5603654384613037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5584295392036438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5025174617767334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3338509798049927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28718453645706177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19423747062683105},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1380915343761444},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2408.09042","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.09042","pdf_url":"https://arxiv.org/pdf/2408.09042","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2408.09042","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2408.09042","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.09042","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.09042","pdf_url":"https://arxiv.org/pdf/2408.09042","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402503688.pdf","grobid_xml":"https://content.openalex.org/works/W4402503688.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4386925306","https://openalex.org/W4387968151","https://openalex.org/W3132124459","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783","https://openalex.org/W2917961983"],"abstract_inverted_index":{"Recovering":[0],"camera":[1,65,72,93,188],"poses":[2,73,94],"from":[3],"a":[4,9,78,101,173,176,192],"set":[5],"of":[6,123,134,186,219],"images":[7,39],"is":[8,105,180,201],"foundational":[10],"task":[11],"in":[12,53,234],"3D":[13,22],"computer":[14],"vision,":[15],"which":[16,35,104,149],"powers":[17],"key":[18],"applications":[19],"such":[20,32],"as":[21,33,77,226,228],"scene/object":[23],"reconstructions.":[24],"Classic":[25],"methods":[26,233],"often":[27],"depend":[28],"on":[29],"feature":[30],"correspondence,":[31],"keypoints,":[34],"require":[36],"the":[37,70,92,116,125,131,158,168,178,199,205,210,217],"input":[38],"to":[40,62,112,141,166,182,190,203,215],"have":[41],"large":[42],"overlap":[43],"and":[44,110,153,175,194,198],"small":[45],"viewpoint":[46],"changes.":[47],"Such":[48],"requirements":[49],"present":[50],"considerable":[51],"challenges":[52],"scenarios":[54],"with":[55],"sparse":[56],"views.":[57],"Recent":[58],"data-driven":[59],"approaches":[60,120],"aim":[61],"directly":[63,90],"output":[64,183],"poses,":[66],"either":[67],"through":[68],"regressing":[69,91],"6DoF":[71,187],"or":[74],"formulating":[75],"rotation":[76,135],"probability":[79],"distribution.":[80],"However,":[81],"each":[82],"approach":[83],"has":[84],"its":[85],"limitations.":[86],"On":[87,115],"one":[88],"hand,":[89,118],"can":[95],"be":[96],"ill-posed,":[97],"since":[98],"it":[99],"assumes":[100],"single":[102],"mode,":[103],"not":[106],"true":[107],"under":[108],"symmetry":[109,126],"leads":[111,140],"sub-optimal":[113],"solutions.":[114],"other":[117],"probabilistic":[119],"are":[121],"capable":[122],"modeling":[124],"ambiguity,":[127,197],"yet":[128],"they":[129],"sample":[130,147,154],"entire":[132],"space":[133],"uniformly":[136],"by":[137,171],"brute-force.":[138],"This":[139,212],"an":[142],"inevitable":[143],"trade-off":[144],"between":[145],"high":[146],"density,":[148],"improves":[150],"model":[151],"precision,":[152],"efficiency":[155],"that":[156,207],"determines":[157],"runtime.":[159],"In":[160],"this":[161],"paper,":[162],"we":[163],"propose":[164],"ADen":[165,214],"unify":[167],"two":[169],"frameworks":[170],"employing":[172],"generator":[174,179],"discriminator:":[177],"trained":[181,202],"multiple":[184],"hypotheses":[185],"pose":[189],"represent":[191],"distribution":[193],"handle":[195],"multi-mode":[196],"discriminator":[200],"identify":[204],"hypothesis":[206],"best":[208,218],"explains":[209],"data.":[211],"allows":[213],"combine":[216],"both":[220],"worlds,":[221],"achieving":[222],"substantially":[223],"higher":[224],"precision":[225],"well":[227],"lower":[229],"runtime":[230],"than":[231],"previous":[232],"empirical":[235],"evaluations.":[236]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
