{"id":"https://openalex.org/W4386634656","doi":"https://doi.org/10.1109/tpami.2023.3314745","title":"NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction","display_name":"NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4386634656","doi":"https://doi.org/10.1109/tpami.2023.3314745","pmid":"https://pubmed.ncbi.nlm.nih.gov/37698973"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3314745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3314745","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/A5103153443","display_name":"Bin Tan","orcid":"https://orcid.org/0000-0003-2849-4623"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Tan","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China","Ant Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048981711","display_name":"Nan Xue","orcid":"https://orcid.org/0000-0002-5449-8073"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xue","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China","Ant Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091159460","display_name":"Tianfu Wu","orcid":"https://orcid.org/0000-0001-8911-5506"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianfu Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073032922","display_name":"Gui-Song Xia","orcid":"https://orcid.org/0000-0001-7660-6090"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Song Xia","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103153443"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":2.3367,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90558435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"45","issue":"12","first_page":"15233","last_page":"15248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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":0.9976999759674072,"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/ransac","display_name":"RANSAC","score":0.9514575004577637},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7931119203567505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7293974161148071},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.6554348468780518},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6055313944816589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752725601196289},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4756569266319275},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.46717414259910583},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.42825210094451904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2853388786315918},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24209171533584595},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10827702283859253}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9514575004577637},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7931119203567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7293974161148071},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.6554348468780518},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6055313944816589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752725601196289},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4756569266319275},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.46717414259910583},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.42825210094451904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2853388786315918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24209171533584595},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10827702283859253}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3314745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3314745","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:37698973","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37698973","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/G2852671763","display_name":null,"funder_award_id":"62101390","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3965009956","display_name":null,"funder_award_id":"U22B2011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7875021329","display_name":null,"funder_award_id":"62325111","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W1985238052","https://openalex.org/W1992989752","https://openalex.org/W1993336109","https://openalex.org/W2003447360","https://openalex.org/W2013474114","https://openalex.org/W2052094314","https://openalex.org/W2085261163","https://openalex.org/W2109635530","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2152671441","https://openalex.org/W2194775991","https://openalex.org/W2200124539","https://openalex.org/W2471962767","https://openalex.org/W2594519801","https://openalex.org/W2890097289","https://openalex.org/W2905260191","https://openalex.org/W2908510526","https://openalex.org/W2917562521","https://openalex.org/W2955639361","https://openalex.org/W2962914239","https://openalex.org/W2963059198","https://openalex.org/W2963710007","https://openalex.org/W2963760790","https://openalex.org/W2964339842","https://openalex.org/W2985775862","https://openalex.org/W2990946490","https://openalex.org/W2991115635","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3081167590","https://openalex.org/W3106873406","https://openalex.org/W3107210737","https://openalex.org/W3110153602","https://openalex.org/W3166285241","https://openalex.org/W3185799881","https://openalex.org/W3194532238","https://openalex.org/W3202016623","https://openalex.org/W3203518786","https://openalex.org/W3203887644","https://openalex.org/W3213165621","https://openalex.org/W4206471589","https://openalex.org/W4214648559","https://openalex.org/W4221154336","https://openalex.org/W4312548398","https://openalex.org/W4313001930","https://openalex.org/W6754767313","https://openalex.org/W6757817989","https://openalex.org/W6770485707","https://openalex.org/W6798837711","https://openalex.org/W6809705236"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4287600488","https://openalex.org/W4312694060","https://openalex.org/W4281696776","https://openalex.org/W1018308721","https://openalex.org/W4229588126","https://openalex.org/W4390872624","https://openalex.org/W4229059082"],"abstract_inverted_index":{"This":[0],"article":[1],"studies":[2],"the":[3,21,59,83,93,108,113,118,144,148,157,162],"challenging":[4,176],"two-view":[5,163],"3D":[6,54,85,184],"reconstruction":[7],"problem":[8],"in":[9,20,39,102],"a":[10,31,62,76,103,138],"rigorous":[11],"sparse-view":[12,145,183],"configuration,":[13],"which":[14,98],"is":[15],"suffering":[16],"from":[17,53],"insufficient":[18],"correspondences":[19,74,87,122,142],"input":[22],"image":[23],"pairs":[24],"for":[25,65,123,143,161,182],"camera":[26,95,110,158],"pose":[27,51,96,116,125,131,135,159],"estimation.":[28],"We":[29],"present":[30],"novel":[32],"Neural":[33],"One-PlanE":[34],"RANSAC":[35,104],"framework":[36],"(termed":[37],"NOPE-SAC":[38,69,154],"short)":[40],"that":[41,152],"exerts":[42],"excellent":[43],"capability":[44],"of":[45,61,120,140],"neural":[46,114],"networks":[47],"to":[48,91,106],"learn":[49],"one-plane":[50,94,115],"hypotheses":[52,126],"plane":[55,66,73,86,121,141],"correspondences.":[56],"Building":[57],"on":[58,174],"top":[60],"Siamese":[63],"network":[64],"detection,":[67],"our":[68,153],"first":[70],"generates":[71],"putative":[72],"with":[75,137,165],"coarse":[77],"initial":[78],"pose.":[79,111],"It":[80],"then":[81],"feeds":[82],"learned":[84],"into":[88],"shared":[89],"MLPs":[90],"estimate":[92],"hypotheses,":[97],"are":[99],"subsequently":[100],"reweighed":[101],"manner":[105],"obtain":[107],"final":[109],"Because":[112],"minimizes":[117],"number":[119],"adaptive":[124],"generation,":[127],"it":[128],"enables":[129],"stable":[130],"voting":[132],"and":[133,180],"reliable":[134],"refinement":[136],"few":[139],"inputs.":[146],"In":[147],"experiments,":[149],"we":[150],"demonstrate":[151],"significantly":[155],"improves":[156],"estimation":[160],"inputs":[164],"severe":[166],"viewpoint":[167],"changes,":[168],"setting":[169],"several":[170],"new":[171],"state-of-the-art":[172],"performances":[173],"two":[175],"benchmarks,":[177],"i.e.,":[178],"MatterPort3D":[179],"ScanNet,":[181],"reconstruction.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}