{"id":"https://openalex.org/W4409262521","doi":"https://doi.org/10.1109/wacv61041.2025.00298","title":"PVT: An Implicit Surface Reconstruction Framework via Point Voxel Geometric-Aware Transformer","display_name":"PVT: An Implicit Surface Reconstruction Framework via Point Voxel Geometric-Aware Transformer","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4409262521","doi":"https://doi.org/10.1109/wacv61041.2025.00298"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61041.2025.00298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5072251057","display_name":"Chuanmao Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuanmao Fan","raw_affiliation_strings":["University of Missouri-Columbia,Columbia,MO,USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Columbia,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107490837","display_name":"Chenxi Zhao","orcid":"https://orcid.org/0000-0002-6312-5316"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenxi Zhao","raw_affiliation_strings":["Clemson University,Clemson,SC,USA"],"affiliations":[{"raw_affiliation_string":"Clemson University,Clemson,SC,USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101430357","display_name":"Ye Duan","orcid":"https://orcid.org/0000-0002-3831-3331"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Duan","raw_affiliation_strings":["Clemson University,Clemson,SC,USA"],"affiliations":[{"raw_affiliation_string":"Clemson University,Clemson,SC,USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072251057"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":2.6209,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88872124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3013","last_page":"3023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9889000058174133,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9889000058174133,"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":0.9857000112533569,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6398406624794006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6178689002990723},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5630147457122803},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.5418511033058167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40131473541259766},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.3494102358818054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3232755959033966},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20399975776672363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1552131175994873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09487494826316833},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08257696032524109}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6398406624794006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6178689002990723},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5630147457122803},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.5418511033058167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40131473541259766},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3494102358818054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3232755959033966},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20399975776672363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1552131175994873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09487494826316833},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08257696032524109},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61041.2025.00298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1349702171","display_name":null,"funder_award_id":"2018850","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6411137581","display_name":null,"funder_award_id":"W911NF2120275","funder_id":"https://openalex.org/F4320338324","funder_display_name":"U.S. Army Research Institute of Environmental Medicine"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338324","display_name":"U.S. Army Research Institute of Environmental Medicine","ror":"https://ror.org/00rg6zq05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1985907520","https://openalex.org/W2131396337","https://openalex.org/W2211722331","https://openalex.org/W2342277278","https://openalex.org/W2556802233","https://openalex.org/W2737234477","https://openalex.org/W2798670728","https://openalex.org/W2798777114","https://openalex.org/W2905288042","https://openalex.org/W2953127211","https://openalex.org/W2960986959","https://openalex.org/W2962849139","https://openalex.org/W2963231572","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2979283733","https://openalex.org/W2979750740","https://openalex.org/W2981978060","https://openalex.org/W2990613095","https://openalex.org/W3014902535","https://openalex.org/W3034314779","https://openalex.org/W3035291735","https://openalex.org/W3035507572","https://openalex.org/W3035515538","https://openalex.org/W3035591705","https://openalex.org/W3044134703","https://openalex.org/W3095682719","https://openalex.org/W3111535274","https://openalex.org/W3117476483","https://openalex.org/W3174178900","https://openalex.org/W3175967923","https://openalex.org/W3184957317","https://openalex.org/W3195290538","https://openalex.org/W4200150166","https://openalex.org/W4214655709","https://openalex.org/W4214755140","https://openalex.org/W4214777292","https://openalex.org/W4221151978","https://openalex.org/W4226373316","https://openalex.org/W4233857083","https://openalex.org/W4287025408","https://openalex.org/W4287756134","https://openalex.org/W4312616477","https://openalex.org/W4312846382","https://openalex.org/W4313036632","https://openalex.org/W4313147859","https://openalex.org/W4313151476","https://openalex.org/W4385245566","https://openalex.org/W4386066608","https://openalex.org/W4386076153","https://openalex.org/W4390873278","https://openalex.org/W4393149117","https://openalex.org/W4402667891","https://openalex.org/W6631190155","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6742835132","https://openalex.org/W6762938612","https://openalex.org/W6763422710","https://openalex.org/W6765299845","https://openalex.org/W6766978945","https://openalex.org/W6771217994","https://openalex.org/W6774418182","https://openalex.org/W6779689363","https://openalex.org/W6780179280","https://openalex.org/W6784966207","https://openalex.org/W6785315726","https://openalex.org/W6796823060","https://openalex.org/W6809564636","https://openalex.org/W6846166657"],"related_works":["https://openalex.org/W2064026934","https://openalex.org/W2083481614","https://openalex.org/W3095081273","https://openalex.org/W2090665771","https://openalex.org/W2169427544","https://openalex.org/W1984855422","https://openalex.org/W122154308","https://openalex.org/W33542082","https://openalex.org/W2391505850","https://openalex.org/W2384105963"],"abstract_inverted_index":{"3D":[0],"surface":[1,33,100],"reconstruction":[2,34,101],"from":[3],"unorganized":[4],"point":[5,78,105],"clouds":[6],"is":[7],"a":[8,64,84,136],"fundamental":[9],"task":[10],"in":[11,17,63],"visual":[12],"computing":[13],"with":[14,115],"numerous":[15],"applications":[16],"areas":[18],"such":[19],"as":[20,91],"robotics,":[21],"virtual":[22],"reality,":[23,25],"augmented":[24],"and":[26,134],"animation.":[27],"To":[28],"date,":[29],"many":[30,43],"deep":[31,85],"learning-based":[32,51],"methods":[35,52,74],"have":[36,53],"been":[37],"proposed,":[38],"demonstrating":[39],"great":[40],"performance":[41,138],"on":[42,104],"benchmark":[44],"datasets.":[45],"Among":[46],"these,":[47],"neural":[48,70],"implicit":[49,66,71,99],"field":[50,72],"gained":[54],"popularity":[55],"for":[56],"their":[57],"capability":[58],"of":[59],"representing":[60],"complex":[61],"structures":[62],"continuous":[65],"distance":[67],"field.":[68],"Existing":[69],"learning":[73],"either":[75],"utilize":[76],"voxelized":[77],"cloud":[79],"then":[80],"feed":[81],"them":[82],"to":[83,110],"network,":[86],"or":[87],"directly":[88],"take":[89],"points":[90],"input.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"propose":[97],"an":[98],"framework":[102,127],"based":[103],"voxel":[106],"geometric-aware":[107],"transformer":[108],"PVT":[109,126],"seamlessly":[111],"integrate":[112],"point-based":[113],"convolution":[114,117],"voxel-based":[116],"using":[118],"bidirectional":[119],"transformers.":[120],"Experiments":[121],"show":[122],"that":[123],"the":[124],"proposed":[125],"can":[128],"better":[129],"encode":[130],"local":[131],"geometry":[132],"details":[133],"provide":[135],"significant":[137],"boost":[139],"over":[140],"existing":[141],"state-of-the-art":[142],"methods.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}