{"id":"https://openalex.org/W4402726963","doi":"https://doi.org/10.1109/cvpr52733.2024.00403","title":"XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies","display_name":"XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402726963","doi":"https://doi.org/10.1109/cvpr52733.2024.00403"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.00403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5026841733","display_name":"Xuanchi Ren","orcid":"https://orcid.org/0000-0001-6376-7100"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuanchi Ren","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070611359","display_name":"Jiahui Huang","orcid":"https://orcid.org/0000-0001-6320-2636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiahui Huang","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057175779","display_name":"Xiaohui Zeng","orcid":"https://orcid.org/0000-0002-2353-1993"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohui Zeng","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034723250","display_name":"Ken Museth","orcid":"https://orcid.org/0000-0002-9926-780X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ken Museth","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanja Fidler","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034982302","display_name":"FRANCIS H. WILLIAMS","orcid":"https://orcid.org/0000-0003-2189-881X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francis Williams","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026841733"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.2647,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.99481082,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4209","last_page":"4219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.7045551538467407},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.687494158744812},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6016467809677124},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5587025284767151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4843657910823822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3795652389526367},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06310603022575378},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05443456768989563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045551538467407},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.687494158744812},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6016467809677124},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5587025284767151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4843657910823822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3795652389526367},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06310603022575378},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05443456768989563}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.00403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1959608418","https://openalex.org/W2029315739","https://openalex.org/W2423557781","https://openalex.org/W2546066744","https://openalex.org/W2603429625","https://openalex.org/W2962849139","https://openalex.org/W2985840885","https://openalex.org/W2986615800","https://openalex.org/W3023742835","https://openalex.org/W3035172746","https://openalex.org/W3036167779","https://openalex.org/W3121370741","https://openalex.org/W3135415126","https://openalex.org/W3141954417","https://openalex.org/W3162926177","https://openalex.org/W3175528029","https://openalex.org/W3180196270","https://openalex.org/W3201411247","https://openalex.org/W3213542937","https://openalex.org/W3215807011","https://openalex.org/W4221159371","https://openalex.org/W4224319921","https://openalex.org/W4229035826","https://openalex.org/W4287121833","https://openalex.org/W4296957573","https://openalex.org/W4298187450","https://openalex.org/W4306310244","https://openalex.org/W4306820534","https://openalex.org/W4310743135","https://openalex.org/W4311034203","https://openalex.org/W4312045746","https://openalex.org/W4312234520","https://openalex.org/W4312933868","https://openalex.org/W4313484184","https://openalex.org/W4323927218","https://openalex.org/W4372272552","https://openalex.org/W4376122412","https://openalex.org/W4378501865","https://openalex.org/W4380559227","https://openalex.org/W4382766104","https://openalex.org/W4383472654","https://openalex.org/W4384115436","https://openalex.org/W4384261892","https://openalex.org/W4385275714","https://openalex.org/W4385537219","https://openalex.org/W4386065887","https://openalex.org/W4386066503","https://openalex.org/W4386071840","https://openalex.org/W4386071957","https://openalex.org/W4386075660","https://openalex.org/W4386075742","https://openalex.org/W4386076275","https://openalex.org/W4386076371","https://openalex.org/W4387226195","https://openalex.org/W4387299933","https://openalex.org/W4387839185","https://openalex.org/W4388718036","https://openalex.org/W4390871887","https://openalex.org/W4390872015","https://openalex.org/W4390872205","https://openalex.org/W4390873294","https://openalex.org/W4390873331","https://openalex.org/W4390874331","https://openalex.org/W4394671432","https://openalex.org/W4402703008","https://openalex.org/W6610566761","https://openalex.org/W6640963894","https://openalex.org/W6679045638","https://openalex.org/W6687484953","https://openalex.org/W6729001083","https://openalex.org/W6748208425","https://openalex.org/W6774645763","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6790629872","https://openalex.org/W6791353385","https://openalex.org/W6795288823","https://openalex.org/W6796588791","https://openalex.org/W6797359156","https://openalex.org/W6803908744","https://openalex.org/W6809366383","https://openalex.org/W6809884996","https://openalex.org/W6843226767","https://openalex.org/W6843813467","https://openalex.org/W6846007759","https://openalex.org/W6846015844","https://openalex.org/W6846752057","https://openalex.org/W6847671982","https://openalex.org/W6849280300","https://openalex.org/W6849736433","https://openalex.org/W6850161555","https://openalex.org/W6852343506","https://openalex.org/W6852952414","https://openalex.org/W6853592262","https://openalex.org/W6853660671","https://openalex.org/W6854266301","https://openalex.org/W6854511533","https://openalex.org/W6854839445","https://openalex.org/W6856050074","https://openalex.org/W6856762916","https://openalex.org/W6857483924","https://openalex.org/W6858294596"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"We":[0,111],"present":[1],"XCube":[2,90],"(abbreviated":[3],"as":[4,106,108,141],"<tex":[5],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[6,37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathcal{X}^{\\mathrm{3}}$</tex>),":[7],"a":[8,29,40,52,65,69,103,136,147],"novel":[9],"generative":[10],"model":[11,22,57,130],"for":[12],"high-resolution":[13,83],"sparse":[14],"3D":[15],"voxel":[16,54,104],"grids":[17,63],"with":[18,28,102],"arbitrary":[19],"attributes.":[20],"Our":[21],"can":[23,131,156],"generate":[24],"millions":[25],"of":[26,33,89,97,138],"voxels":[27],"finest":[30],"effective":[31],"resolution":[32,62],"up":[34],"to":[35,123,134],"1024<sup":[36],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[38],"in":[39,64],"feed-forward":[41],"fashion":[42],"without":[43],"time-consuming":[44],"test-time":[45],"optimization.":[46],"To":[47],"achieve":[48],"this,":[49],"we":[50,85,126],"employ":[51],"hierarchical":[53],"latent":[55],"diffusion":[56],"which":[58],"generates":[59],"progressively":[60],"higher":[61],"coarse-to-fine":[66],"manner":[67],"using":[68],"custom":[70],"framework":[71],"built":[72],"on":[73,91,159],"the":[74,87],"highly":[75],"efficient":[76],"VDB":[77],"data":[78],"structure.":[79],"Apart":[80],"from":[81,146],"generating":[82],"objects,":[84],"demonstrate":[86],"effectiveness":[88],"large":[92],"outdoor":[93],"scenes":[94],"at":[95],"scales":[96],"100":[98,100],"m\u00d7":[99],"m":[101],"size":[105],"small":[107],"10":[109],"cm.":[110],"observe":[112],"clear":[113],"qualitative":[114],"and":[115,150,154],"quantitative":[116],"improvements":[117],"over":[118],"past":[119],"approaches.":[120],"In":[121],"addition":[122],"unconditional":[124],"generation,":[125],"show":[127],"that":[128],"our":[129,160],"be":[132,157],"used":[133],"solve":[135],"variety":[137],"tasks":[139],"such":[140],"user-guided":[142],"editing,":[143],"scene":[144],"completion":[145],"single":[148],"scan,":[149],"text-to-3D.":[151],"More":[152],"results":[153],"details":[155],"found":[158],"project":[161],"webpage.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
