{"id":"https://openalex.org/W4310643199","doi":"https://doi.org/10.1109/tvcg.2022.3225844","title":"Vox-Surf: Voxel-Based Implicit Surface Representation","display_name":"Vox-Surf: Voxel-Based Implicit Surface Representation","publication_year":2022,"publication_date":"2022-12-02","ids":{"openalex":"https://openalex.org/W4310643199","doi":"https://doi.org/10.1109/tvcg.2022.3225844","pmid":"https://pubmed.ncbi.nlm.nih.gov/36459607"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2022.3225844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3225844","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","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/A5100429396","display_name":"Hai Li","orcid":"https://orcid.org/0000-0002-5114-6566"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai Li","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006340","display_name":"Xingrui Yang","orcid":"https://orcid.org/0000-0001-6812-3072"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xingrui Yang","raw_affiliation_strings":["Visual Information Laboratory, University of Bristol, Bristol, U.K"],"affiliations":[{"raw_affiliation_string":"Visual Information Laboratory, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069707429","display_name":"Hongjia Zhai","orcid":"https://orcid.org/0000-0002-7729-8787"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjia Zhai","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101861916","display_name":"Yuqian Liu","orcid":"https://orcid.org/0000-0003-1436-3489"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqian Liu","raw_affiliation_strings":["Autonomous Driving Group, SenseTime, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Autonomous Driving Group, SenseTime, Shanghai, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059021869","display_name":"Hujun Bao","orcid":"https://orcid.org/0000-0002-2662-0334"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hujun Bao","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693448","display_name":"Guofeng Zhang","orcid":"https://orcid.org/0000-0001-5661-8430"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Zhang","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100429396"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":10.1364,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.99428988,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"30","issue":"3","first_page":"1743","last_page":"1755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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/voxel","display_name":"Voxel","score":0.8920041918754578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8233976364135742},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6119215488433838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6053609848022461},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5578102469444275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.547724187374115},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5425766706466675},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.44379934668540955}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.8920041918754578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8233976364135742},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6119215488433838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6053609848022461},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5578102469444275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.547724187374115},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5425766706466675},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.44379934668540955},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2022.3225844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2022.3225844","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:36459607","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36459607","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 visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5158269727","display_name":null,"funder_award_id":"61932003","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":43,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W2071906076","https://openalex.org/W2085905957","https://openalex.org/W2122572959","https://openalex.org/W2158602022","https://openalex.org/W2160014001","https://openalex.org/W2342277278","https://openalex.org/W2471962767","https://openalex.org/W2474281075","https://openalex.org/W2519683295","https://openalex.org/W2560722161","https://openalex.org/W2594519801","https://openalex.org/W2698857938","https://openalex.org/W2911758669","https://openalex.org/W2944579304","https://openalex.org/W2962778872","https://openalex.org/W2963527086","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W3034968345","https://openalex.org/W3105863736","https://openalex.org/W3109585842","https://openalex.org/W3126389270","https://openalex.org/W3154129649","https://openalex.org/W3176368002","https://openalex.org/W3184957317","https://openalex.org/W3186630079","https://openalex.org/W3202037070","https://openalex.org/W3203597819","https://openalex.org/W3215927878","https://openalex.org/W4252201060","https://openalex.org/W4281707540","https://openalex.org/W4312598811","https://openalex.org/W4312846381","https://openalex.org/W4312969460","https://openalex.org/W4313017495","https://openalex.org/W6652231383","https://openalex.org/W6763480078","https://openalex.org/W6774418182","https://openalex.org/W6781421651","https://openalex.org/W6784729325","https://openalex.org/W6797770180","https://openalex.org/W6798033281"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W3137044537","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W2172753644","https://openalex.org/W2170209930","https://openalex.org/W4246858109","https://openalex.org/W54172855"],"abstract_inverted_index":{"Virtual":[0],"content":[1],"creation":[2],"and":[3,28,38,73,96,118,134,149,155,193],"interaction":[4],"play":[5],"an":[6],"important":[7],"role":[8],"in":[9,34,179,190],"modern":[10],"3D":[11,15,180],"applications.":[12],"Recovering":[13],"detailed":[14],"models":[16],"from":[17,85,102],"real":[18],"scenes":[19],"can":[20,97,144,165],"significantly":[21],"expand":[22],"the":[23,35,56,82,86,129,170,185],"scope":[24],"of":[25,131,188],"its":[26,77],"applications":[27],"has":[29],"been":[30],"studied":[31],"for":[32,92,123,173],"decades":[33],"computer":[36,39],"vision":[37],"graphics":[40],"community.":[41],"In":[42],"this":[43],"work,":[44],"we":[45],"propose":[46],"Vox-Surf,":[47],"a":[48,66,108],"voxel-based":[49],"implicit":[50],"surface":[51,147],"representation.":[52],"Our":[53],"Vox-Surf":[54,89,142,189],"divides":[55],"space":[57],"into":[58],"finite":[59],"sparse":[60],"voxels,":[61],"where":[62],"each":[63],"voxel":[64,87],"is":[65,90,177,199],"basic":[67],"geometry":[68,72],"unit":[69],"that":[70,140],"stores":[71],"appearance":[74],"information":[75],"on":[76],"corner":[78],"vertices.":[79],"Due":[80],"to":[81,112],"sparsity":[83],"inherited":[84],"representation,":[88],"suitable":[91],"almost":[93],"any":[94],"scene":[95,191],"be":[98,167],"easily":[99],"trained":[100],"end-to-end":[101],"multiple":[103],"view":[104],"images.":[105],"We":[106,182],"utilize":[107],"progressive":[109],"training":[110],"process":[111],"gradually":[113],"cull":[114],"out":[115],"empty":[116],"voxels":[117,122,164],"keep":[119],"only":[120],"valid":[121],"further":[124],"optimization,":[125],"which":[126,176],"greatly":[127],"reduces":[128],"number":[130],"sample":[132],"points":[133],"improves":[135],"inference":[136],"speed.":[137],"Experiments":[138],"show":[139,184],"our":[141],"representation":[143],"learn":[145],"fine":[146,163],"details":[148],"accurate":[150],"colors":[151],"with":[152],"less":[153],"memory":[154],"faster":[156],"rendering":[157],"than":[158],"previous":[159],"methods.":[160],"The":[161,196],"resulting":[162],"also":[166,183],"considered":[168],"as":[169],"bounding":[171],"volumes":[172],"collision":[174],"detection,":[175],"useful":[178],"interactions.":[181],"potential":[186],"application":[187],"editing":[192],"augmented":[194],"reality.":[195],"source":[197],"code":[198],"publicly":[200],"available":[201],"at":[202],"https://github.com/zju3dv/Vox-Surf.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}