{"id":"https://openalex.org/W4413147004","doi":"https://doi.org/10.1109/cvpr52734.2025.01998","title":"CADDreamer: CAD Object Generation from Single-view Images","display_name":"CADDreamer: CAD Object Generation from Single-view Images","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413147004","doi":"https://doi.org/10.1109/cvpr52734.2025.01998"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.01998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100618717","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-7466-9485"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109647264","display_name":"Cheng Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cheng Lin","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034194344","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0003-2933-5667"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072177890","display_name":"Xiaoxiao Long","orcid":"https://orcid.org/0000-0002-3386-8805"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Long","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078876971","display_name":"Chenxu Zhang","orcid":"https://orcid.org/0000-0002-1971-1975"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenxu Zhang","raw_affiliation_strings":["ByteDance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071499548","display_name":"Ningna Wang","orcid":"https://orcid.org/0000-0002-7995-9681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ningna Wang","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658181","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-1670-1368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Texas A&M University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668416","display_name":"Wenping Wang","orcid":"https://orcid.org/0000-0002-2284-3952"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenping Wang","raw_affiliation_strings":["Texas A&M University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101604531","display_name":"Xiaohu Guo","orcid":"https://orcid.org/0000-0002-2141-7222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohu Guo","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21448","last_page":"21457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9922000169754028,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6605244278907776},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.6247251629829407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.51279217004776},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4991734027862549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4302806258201599},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41965654492378235},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.2597214877605438},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11468777060508728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6605244278907776},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.6247251629829407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.51279217004776},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4991734027862549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4302806258201599},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41965654492378235},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2597214877605438},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11468777060508728}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.01998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Diffusion-based":[0],"3D":[1,12,180],"generation":[2,82,181],"has":[3],"made":[4],"remarkable":[5],"progress":[6],"in":[7,24,146,153,191,194,197,201],"recent":[8],"years.":[9],"However,":[10],"existing":[11,179],"generative":[13],"models":[14,36,101,185],"often":[15],"produce":[16],"overly":[17],"dense":[18],"and":[19,31,76,115,137,144,156,199],"unstructured":[20],"meshes,":[21],"which":[22],"stand":[23],"stark":[25],"contrast":[26],"to":[27,102,141,178],"the":[28,81,89,92,95,109,123,147,160,183],"compact,":[29],"structured,":[30],"sharply-edged":[32],"Computer-Aided":[33],"Design":[34],"(CAD)":[35],"crafted":[37],"by":[38,187],"human":[39],"designers.":[40],"To":[41],"address":[42],"this":[43],"gap,":[44],"we":[45,132],"introduce":[46,133],"CADDreamer,":[47],"a":[48,60,65,119,126,154],"novel":[49],"approach":[50],"for":[51],"generating":[52],"boundary":[53],"representations":[54],"(B-rep)":[55],"of":[56,98,111,125,159],"CAD":[57,161,172],"objects":[58,173],"from":[59,118,174],"single":[61,120],"image.":[62],"CADDreamer":[63,188],"employs":[64],"primitive-aware":[66],"multi-view":[67,112],"diffusion":[68,100],"model":[69],"that":[70,166],"captures":[71],"both":[72],"local":[73],"geometric":[74,134],"details":[75],"high-level":[77],"structural":[78],"semantics":[79,87],"during":[80],"process.":[83],"By":[84],"encoding":[85],"primitive":[86,129],"into":[88],"color":[90],"domain,":[91],"method":[93,168],"leverages":[94],"strong":[96],"priors":[97],"pre-trained":[99],"align":[103],"with":[104,128],"well-defined":[105],"primitives.":[106,149],"This":[107],"enables":[108],"inference":[110],"normal":[113],"maps":[114,117],"semantic":[116],"image,":[121],"facilitating":[122],"reconstruction":[124],"mesh":[127],"labels.":[130],"Furthermore,":[131],"optimization":[135],"techniques":[136],"topology-preserving":[138],"extraction":[139],"methods":[140],"mitigate":[142],"noise":[143],"distortion":[145],"generated":[148],"These":[150],"enhancements":[151],"result":[152],"complete":[155],"seamless":[157],"B-rep":[158,184],"model.":[162],"Experimental":[163],"results":[164],"demonstrate":[165],"our":[167],"effectively":[169],"recovers":[170],"high-quality":[171],"single-view":[175],"images.":[176],"Compared":[177],"techniques,":[182],"produced":[186],"are":[189],"compact":[190],"representation,":[192],"clear":[193],"structure,":[195],"sharp":[196],"edges,":[198],"watertight":[200],"topology.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}