{"id":"https://openalex.org/W4415063882","doi":"https://doi.org/10.1109/iccv51701.2025.01375","title":"SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling","display_name":"SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415063882","doi":"https://doi.org/10.1109/iccv51701.2025.01375"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.21732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022458011","display_name":"Xianglong He","orcid":"https://orcid.org/0000-0001-5368-0765"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong He","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023236842","display_name":"Zi\u2013Xin Zou","orcid":"https://orcid.org/0000-0003-2945-552X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zi-Xin Zou","raw_affiliation_strings":["VAST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VAST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053176482","display_name":"Chia-Hao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chia-Hao Chen","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011934377","display_name":"Yuan-Chen Guo","orcid":"https://orcid.org/0000-0001-6164-8343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan-Chen Guo","raw_affiliation_strings":["VAST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VAST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456723","display_name":"Liang Ding","orcid":"https://orcid.org/0000-0001-8976-2084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding Liang","raw_affiliation_strings":["VAST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VAST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456902","display_name":"Chun Yuan","orcid":"https://orcid.org/0000-0002-3590-6676"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Yuan","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087818121","display_name":"Wanli Ouyang","orcid":"https://orcid.org/0000-0002-9163-2761"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanli Ouyang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091525681","display_name":"Yan\u2010Pei Cao","orcid":"https://orcid.org/0000-0002-0416-4374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan-Pei Cao","raw_affiliation_strings":["VAST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VAST","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069733636","display_name":"Yangguang Li","orcid":"https://orcid.org/0000-0002-6090-3899"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yangguang Li","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14822","last_page":"14833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9909999966621399,"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":0.9909999966621399,"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":0.988099992275238,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9825000166893005,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7491999864578247},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.7258999943733215},{"id":"https://openalex.org/keywords/isosurface","display_name":"Isosurface","score":0.7192999720573425},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6535999774932861},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5756999850273132},{"id":"https://openalex.org/keywords/marching-cubes","display_name":"Marching cubes","score":0.5663999915122986},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4900999963283539},{"id":"https://openalex.org/keywords/mesh-generation","display_name":"Mesh generation","score":0.48089998960494995},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.47200000286102295}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7491999864578247},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.7258999943733215},{"id":"https://openalex.org/C45107383","wikidata":"https://www.wikidata.org/wiki/Q1311829","display_name":"Isosurface","level":3,"score":0.7192999720573425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581000089645386},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6535999774932861},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5756999850273132},{"id":"https://openalex.org/C42087268","wikidata":"https://www.wikidata.org/wiki/Q1886184","display_name":"Marching cubes","level":3,"score":0.5663999915122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5616000294685364},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C181145010","wikidata":"https://www.wikidata.org/wiki/Q4418033","display_name":"Mesh generation","level":3,"score":0.48089998960494995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47929999232292175},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.47200000286102295},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4318000078201294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3684000074863434},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C158843486","wikidata":"https://www.wikidata.org/wiki/Q2137810","display_name":"Complex geometry","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.2802000045776367},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.2711000144481659},{"id":"https://openalex.org/C36816356","wikidata":"https://www.wikidata.org/wiki/Q16911860","display_name":"3D rendering","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C116108083","wikidata":"https://www.wikidata.org/wiki/Q1940131","display_name":"Ray casting","level":4,"score":0.2578999996185303}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.01375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.21732","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.21732","pdf_url":"https://arxiv.org/pdf/2503.21732","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.21732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.21732","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:2503.21732","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.21732","pdf_url":"https://arxiv.org/pdf/2503.21732","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4213465990","display_name":null,"funder_award_id":"2022YFB4701400/4701402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Creating":[0],"high-fidelity":[1],"3D":[2,142,175,197],"meshes":[3],"with":[4,32,64,151,177,188],"arbitrary":[5,178],"topology,":[6],"including":[7],"open":[8,77],"surfaces":[9],"and":[10,24,74,99,135,158,168,186,200],"complex":[11],"interiors,":[12],"remains":[13],"a":[14,39,65,82,124,131,136,152,159],"significant":[15],"challenge.":[16],"Existing":[17],"implicit":[18],"field":[19],"methods":[20],"often":[21],"require":[22],"costly":[23],"detail-degrading":[25],"watertight":[26],"conversion,":[27],"while":[28],"other":[29],"approaches":[30],"struggle":[31],"high":[33],"resolutions.":[34],"This":[35,103],"paper":[36],"introduces":[37],"SparseFlex,":[38],"novel":[40],"sparse-structured":[41],"isosurface":[42],"representation":[43,199],"that":[44,88],"enables":[45],"differentiable":[46,183],"mesh":[47,113,184],"reconstruction":[48,111,149,185],"at":[49],"resolutions":[50],"up":[51],"to":[52,165],"$1024^3$":[53],"directly":[54],"from":[55],"rendering":[56,117,189],"losses.":[57],"SparseFlex":[58,191],"combines":[59],"the":[60,107,110,170,194],"accuracy":[61],"of":[62,112,172],"Flexicubes":[63],"sparse":[66],"voxel":[67,85],"structure,":[68],"focusing":[69],"computation":[70],"on":[71],"surface-adjacent":[72],"regions":[73],"efficiently":[75],"handling":[76],"surfaces.":[78],"Crucially,":[79],"we":[80,122],"introduce":[81],"frustum-aware":[83],"sectional":[84],"training":[86,130],"strategy":[87],"activates":[89],"only":[90,116],"relevant":[91],"voxels":[92],"during":[93],"rendering,":[94],"dramatically":[95],"reducing":[96],"memory":[97],"consumption":[98],"enabling":[100,181],"high-resolution":[101],"training.":[102],"also":[104],"allows,":[105],"for":[106,140],"first":[108],"time,":[109],"interiors":[114],"using":[115],"supervision.":[118],"Building":[119],"upon":[120],"this,":[121],"demonstrate":[123,169],"complete":[125],"shape":[126,143,198],"modeling":[127],"pipeline":[128],"by":[129],"variational":[132],"autoencoder":[133],"(VAE)":[134],"rectified":[137],"flow":[138],"transformer":[139],"high-quality":[141],"generation.":[144],"Our":[145],"experiments":[146],"show":[147],"state-of-the-art":[148,195],"accuracy,":[150],"~82%":[153],"reduction":[154],"in":[155,162,196],"Chamfer":[156],"Distance":[157],"~88%":[160],"increase":[161],"F-score":[163],"compared":[164],"previous":[166],"methods,":[167],"generation":[171,187],"high-resolution,":[173,182],"detailed":[174],"shapes":[176],"topology.":[179],"By":[180],"losses,":[190],"significantly":[192],"advances":[193],"modeling.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-11T00:00:00"}
