{"id":"https://openalex.org/W7134237998","doi":"https://doi.org/10.48550/arxiv.2603.05845","title":"Cog2Gen3D: Sculpturing 3D Semantic-Geometric Cognition for 3D Generation","display_name":"Cog2Gen3D: Sculpturing 3D Semantic-Geometric Cognition for 3D Generation","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134237998","doi":"https://doi.org/10.48550/arxiv.2603.05845"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.05845","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128431834","display_name":"Haonan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haonan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128425060","display_name":"Hanyu Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Hanyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021625786","display_name":"Haoyue Liu","orcid":"https://orcid.org/0009-0005-5014-4509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Haoyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128384460","display_name":"Tao Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128432152","display_name":"Luxin Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Luxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26612435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8127999901771545,"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":0.8127999901771545,"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/T12290","display_name":"Human Motion and Animation","score":0.033399999141693115,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.028599999845027924,"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/leverage","display_name":"Leverage (statistics)","score":0.5853999853134155},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5601000189781189},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4943000078201294},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.40310001373291016},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.38589999079704285},{"id":"https://openalex.org/keywords/spatial-cognition","display_name":"Spatial cognition","score":0.38580000400543213},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.3668000102043152},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.3555000126361847},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3375999927520752}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5853999853134155},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539000034332275},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4943000078201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4271000027656555},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.38589999079704285},{"id":"https://openalex.org/C2777371692","wikidata":"https://www.wikidata.org/wiki/Q2178611","display_name":"Spatial cognition","level":3,"score":0.38580000400543213},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3375999927520752},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.27730000019073486},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.05845","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.05845","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.05845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.05845","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"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":{"Generative":[0],"models":[1],"have":[2],"achieved":[3],"success":[4],"in":[5,15,205],"producing":[6],"semantically":[7],"plausible":[8],"2D":[9],"images,":[10],"but":[11],"it":[12],"remains":[13],"challenging":[14],"3D":[16,65,70,83,88,117,138,149,162,170,181],"generation":[17,71],"due":[18],"to":[19,34,49,135,155],"the":[20,73,147,153,157,169,174,191],"absence":[21],"of":[22,52,180],"spatial":[23,36],"geometry":[24,63],"constraints.":[25],"Typically,":[26],"existing":[27,203],"methods":[28,40,204],"utilize":[29],"geometric":[30,109,210],"features":[31],"as":[32,152],"conditions":[33],"enhance":[35],"awareness.":[37],"However,":[38],"these":[39],"can":[41],"only":[42],"model":[43,91],"relative":[44],"relationships":[45],"and":[46,61,108,111,129,177,209],"are":[47],"prone":[48],"scale":[50],"inconsistency":[51],"absolute":[53,62],"geometry.":[54],"Thus,":[55],"we":[56,79,184],"argue":[57],"that":[58,198],"semantic":[59,107,207],"information":[60],"empower":[64],"cognition,":[66],"thereby":[67],"enabling":[68],"controllable":[69],"for":[72,87,161],"physical":[74,175],"world.":[75],"In":[76],"this":[77,166],"work,":[78],"propose":[80],"Cog2Gen3D,":[81],"a":[82,137,186],"cognition-guided":[84],"diffusion":[85,159],"framework":[86],"generation.":[89,164,182],"Our":[90],"is":[92],"guided":[93],"by":[94],"three":[95],"key":[96],"designs:":[97],"1)":[98],"Cognitive":[99],"Feature":[100],"Embeddings.":[101],"We":[102,121,145],"encode":[103],"different":[104,123],"modalities":[105],"into":[106,125],"representations":[110,124],"further":[112],"extract":[113],"logical":[114],"representations.":[115],"2)":[116],"Latent":[118,143],"Cognition":[119],"Graph.":[120],"structure":[122],"dual-stream":[126],"semantic-geometric":[127],"graphs":[128],"fuse":[130],"them":[131],"via":[132],"common-based":[133],"cross-attention":[134],"obtain":[136],"cognition":[139,150,171],"graph.":[140],"3)":[141],"Cognition-Guided":[142],"Diffusion.":[144],"leverage":[146],"fused":[148],"graph":[151,172],"condition":[154],"guide":[156],"latent":[158],"process":[160],"Gaussian":[163],"Under":[165],"unified":[167],"framework,":[168],"ensures":[173],"plausibility":[176],"structural":[178],"rationality":[179],"Moreover,":[183],"construct":[185],"validation":[187],"subset":[188],"based":[189],"on":[190],"Marble":[192],"World":[193],"Labs.":[194],"Extensive":[195],"experiments":[196],"demonstrate":[197],"our":[199],"Cog2Gen3D":[200],"significantly":[201],"outperforms":[202],"both":[206],"fidelity":[208],"plausibility.":[211]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-10T00:00:00"}