{"id":"https://openalex.org/W4414229326","doi":"https://doi.org/10.1109/access.2025.3610072","title":"3D Reconstruction: A Feature Fusion and Transformer-Based Feature Extraction Network for MVSNet","display_name":"3D Reconstruction: A Feature Fusion and Transformer-Based Feature Extraction Network for MVSNet","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414229326","doi":"https://doi.org/10.1109/access.2025.3610072"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3610072","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3610072","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3610072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076627792","display_name":"Junaid Jamshid","orcid":"https://orcid.org/0000-0003-1644-2922"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junaid Jamshid","raw_affiliation_strings":["School of Communications and Information Engineering, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-1644-2922","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622528","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0002-9374-6113"},"institutions":[{"id":"https://openalex.org/I4210088329","display_name":"Jiading District Central Hospital","ror":"https://ror.org/004j26v17","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088329"]},{"id":"https://openalex.org/I4210135985","display_name":"Shanghai University of Medicine and Health Sciences","ror":"https://ror.org/03ns6aq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Zhen","raw_affiliation_strings":["Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","Jiading District Central Hospital Affiliated Shanghai University of Medicine &#x0026; Health Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329","https://openalex.org/I4210135985"]},{"raw_affiliation_string":"Jiading District Central Hospital Affiliated Shanghai University of Medicine &#x0026; Health Sciences, China","institution_ids":["https://openalex.org/I4210088329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005512429","display_name":"Xuzhi Wang","orcid":"https://orcid.org/0009-0009-6731-899X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuzhi Wang","raw_affiliation_strings":["School of Communications and Information Engineering, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026951061","display_name":"Wanggen Wan","orcid":"https://orcid.org/0000-0002-5065-9650"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wan Wanggen","raw_affiliation_strings":["School of Communications and Information Engineering, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-5065-9650","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119630541","display_name":"Gao Changyu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Changyu","raw_affiliation_strings":["School of Communications and Information Engineering, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119630542","display_name":"Sun Xuetao","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuetao Sun","raw_affiliation_strings":["Institute of Smart City, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Smart City, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076627792"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22083528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"162367","last_page":"162377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9750999808311462,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9750999808311462,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9509000182151794,"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/robustness","display_name":"Robustness (evolution)","score":0.6097999811172485},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5929999947547913},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.46309998631477356},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.40540000796318054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38769999146461487},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.38119998574256897},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3382999897003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8596000075340271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6873000264167786},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6097999811172485},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5929999947547913},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.46309998631477356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42399999499320984},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.30970001220703125},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C2781357197","wikidata":"https://www.wikidata.org/wiki/Q5757597","display_name":"High memory","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.2615000009536743}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3610072","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3610072","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:05ed7ac02cbb40ce967d5647d2492072","is_oa":true,"landing_page_url":"https://doaj.org/article/05ed7ac02cbb40ce967d5647d2492072","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 162367-162377 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3610072","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3610072","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"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":{"Three-dimensional":[0],"(3D)":[1],"reconstruction":[2,36,234],"creates":[3],"digital":[4],"3D":[5,35,89,233],"models":[6],"from":[7],"multiple":[8,50],"Two-dimensional":[9],"images":[10],"and":[11,22,32,57,62,87,108,114,158,185,187,224],"is":[12,145,237],"widely":[13],"applied":[14],"in":[15,178,206],"robotics,":[16],"cultural":[17],"heritage":[18],"preservation,":[19],"industrial":[20],"inspection,":[21],"immersive":[23],"media.":[24],"Deep":[25],"learning":[26,39],"has":[27],"significantly":[28],"improved":[29],"the":[30,132,149,200,209],"accuracy":[31,59,177],"robustness":[33],"of":[34],"methods":[37],"by":[38],"rich":[40],"feature":[41,118,202],"representations.":[42],"However,":[43],"challenges":[44],"remain,":[45],"including":[46],"capturing":[47],"features":[48],"at":[49,131,239],"scales,":[51,113],"handling":[52],"low-textured":[53],"or":[54,67,231],"repetitive":[55],"regions,":[56],"balancing":[58],"with":[60,204],"memory":[61,163,219],"speed,":[63],"especially":[64],"for":[65,85,229],"high-resolution":[66],"large":[68],"scenes.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"this":[74],"paper":[75],"introduces":[76],"a":[77,99,116,136],"novel":[78],"Transformer-based":[79],"Feature":[80],"Fusion":[81],"Pyramid":[82],"Network":[83],"(TF-FPN)":[84],"efficient":[86],"accurate":[88],"reconstruction.":[90],"The":[91,221],"proposed":[92],"architecture":[93],"integrates":[94],"two":[95],"main":[96],"components:":[97],"(1)":[98],"frequency-aware":[100],"multi-scale":[101],"fusion":[102],"module":[103],"that":[104,121,171,198],"adaptively":[105],"combines":[106],"structural":[107],"textural":[109],"information":[110],"across":[111],"different":[112],"(2)":[115],"coarse-stage":[117],"matching":[119],"transformer":[120],"establishes":[122],"reliable":[123],"cross-view":[124],"correspondences":[125],"using":[126],"lightweight":[127,222],"self-and":[128],"cross-attention":[129],"mechanisms":[130],"lowest":[133],"resolution.":[134],"Furthermore,":[135],"memory-efficient":[137],"cascaded":[138],"multi-view":[139],"stereo":[140],"network":[141],"framework,":[142],"termed":[143],"TF-MVSNet,":[144],"introduced":[146],"based":[147],"on":[148],"TF-FPN":[150,205,227],"module.":[151],"This":[152],"framework":[153],"employs":[154],"variance-based":[155],"cost":[156],"aggregation":[157],"channel":[159],"reduction":[160],"to":[161],"minimize":[162],"overhead":[164],"without":[165],"sacrificing":[166],"accuracy.":[167],"Extensive":[168],"evaluation":[169],"demonstrates":[170],"TF-MVSNet":[172],"frame":[173],"work":[174],"achieving":[175],"superior":[176],"DTU":[179],"dataset":[180],"(0.313<italic":[181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[182,190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">mm</i>":[183],"error)":[184],"Tanks":[186],"Temples":[188],"(<italic":[189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">F":[191],"\u2212":[192],"score</i>:":[193],"60.13%).":[194],"We":[195],"further":[196],"show":[197],"replacing":[199],"baseline":[201],"extractor":[203],"MVSNeRF":[207],"improves":[208],"rendering":[210],"quality":[211],"metrics":[212],"(PSNR:":[213],"25.90":[214],"27.50":[215],"dB)":[216],"while":[217],"lowering":[218],"usage.":[220],"design":[223],"efficiency":[225],"make":[226],"suitable":[228],"real-time":[230],"resource-constrained":[232],"tasks.":[235],"Code":[236],"available":[238],"https://github.com/jjunaid88/TF-MVSNet.git.":[240]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
