{"id":"https://openalex.org/W4415058100","doi":"https://doi.org/10.1109/tvcg.2026.3679384","title":"DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation","display_name":"DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W4415058100","doi":"https://doi.org/10.1109/tvcg.2026.3679384","pmid":"https://pubmed.ncbi.nlm.nih.gov/41921160"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2026.3679384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2026.3679384","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":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.07435","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ze-Xin Yin","orcid":"https://orcid.org/0009-0004-1478-7868"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze-Xin Yin","raw_affiliation_strings":["PCA Lab, VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0004-1478-7868","affiliations":[{"raw_affiliation_string":"PCA Lab, VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiaxiong Qiu","orcid":"https://orcid.org/0000-0002-6065-7296"},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiong Qiu","raw_affiliation_strings":["Horizon Robotics, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6065-7296","affiliations":[{"raw_affiliation_string":"Horizon Robotics, Beijing, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Horizon Robotics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Horizon Robotics, Beijing, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626387","display_name":"Xinjie Wang","orcid":"https://orcid.org/0000-0002-7465-781X"},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Wang","raw_affiliation_strings":["Horizon Robotics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Horizon Robotics, Beijing, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057006006","display_name":"Wei Sui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sui","raw_affiliation_strings":["D-Robotics, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0005-5182-5621","affiliations":[{"raw_affiliation_string":"D-Robotics, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111533521","display_name":"Zhizhong Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhong Su","raw_affiliation_strings":["Horizon Robotics, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2312-9985","affiliations":[{"raw_affiliation_string":"Horizon Robotics, Beijing, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Lab, VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4800-832X","affiliations":[{"raw_affiliation_string":"PCA Lab, VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079434039","display_name":"Jin Xie","orcid":"https://orcid.org/0000-0002-9157-838X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"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":"Jin Xie","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9157-838X","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University, Suzhou, China","institution_ids":["https://openalex.org/I308837","https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.00946413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"7","first_page":"6272","last_page":"6286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9785000085830688,"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"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9785000085830688,"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/modular-design","display_name":"Modular design","score":0.6761000156402588},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5472000241279602},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4887999892234802},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4359999895095825},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.4169999957084656},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.41260001063346863},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4081000089645386},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.38589999079704285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891999840736389},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6761000156402588},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4377000033855438},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4359999895095825},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.38589999079704285},{"id":"https://openalex.org/C181145010","wikidata":"https://www.wikidata.org/wiki/Q4418033","display_name":"Mesh generation","level":3,"score":0.35190001130104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33180001378059387},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C158843486","wikidata":"https://www.wikidata.org/wiki/Q2137810","display_name":"Complex geometry","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26109999418258667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tvcg.2026.3679384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2026.3679384","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:41921160","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41921160","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},{"id":"pmh:oai:arXiv.org:2509.07435","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07435","pdf_url":"https://arxiv.org/pdf/2509.07435","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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.2509.07435","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.07435","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.07435","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07435","pdf_url":"https://arxiv.org/pdf/2509.07435","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,84],"labor-":[1],"and":[2,71,98,128,182,194,210],"experience-intensive":[3],"creation":[4,19],"of":[5,69,112,189,206],"3D":[6,17,24,52,237],"assets":[7,175],"with":[8,44,90,159,191,239],"physically":[9],"based":[10],"rendering":[11],"(PBR)":[12],"materials":[13,73],"demands":[14],"an":[15],"autonomous":[16],"asset":[18,53],"pipeline.":[20],"However,":[21],"most":[22],"existing":[23],"generation":[25,238],"methods":[26],"focus":[27],"on":[28,220],"geometry":[29,70,127],"modeling,":[30],"either":[31],"baking":[32],"textures":[33],"into":[34],"simple":[35],"vertex":[36],"colors":[37],"or":[38],"leaving":[39],"texture":[40],"synthesis":[41],"to":[42,153,169,226,230],"post-processing":[43,167],"image":[45,222],"diffusion":[46,78,104,124,197,208],"models.":[47,198],"To":[48,121],"achieve":[49],"end-to-end":[50],"PBR-ready":[51],"generation,":[54],"we":[55,163],"present":[56],"Lightweight":[57],"Gaussian":[58,156],"Asset":[59],"Adapter":[60],"(LGAA),":[61],"a":[62,81,87,118,143,165],"novel":[63,82],"framework":[64],"that":[65],"unifies":[66],"the":[67,94,131,177,186,200,211,216,232],"modeling":[68],"PBR":[72,129,160],"by":[74],"exploiting":[75],"multi-view":[76,243],"(MV)":[77],"priors":[79,125,218],"from":[80,102,110,176],"perspective.":[83],"LGAA":[85,95,132,136,149,190],"features":[86],"modular":[88,201],"design":[89,202],"three":[91],"components.":[92],"Specifically,":[93],"Wrapper":[96,137],"reuses":[97],"adapts":[99],"network":[100],"layers":[101,138],"MV":[103,196,233],"models,":[105],"which":[106,224],"encapsulate":[107],"knowledge":[108],"acquired":[109],"billions":[111],"images,":[113],"enabling":[114],"better":[115],"convergence":[116],"in":[117],"data-efficient":[119],"manner.":[120],"incorporate":[122],"multiple":[123,135,207],"for":[126,236],"synthesis,":[130],"Switcher":[133],"aligns":[134],"encapsulating":[139],"different":[140],"knowledge.":[141],"Then,":[142],"tamed":[144],"variational":[145],"autoencoder":[146],"(VAE),":[147],"termed":[148],"Decoder,":[150],"is":[151],"designed":[152],"predict":[154],"2D":[155,217],"Splatting":[157],"(2DGS)":[158],"channels.":[161],"Finally,":[162],"introduce":[164],"dedicated":[166],"procedure":[168],"effectively":[170,214],"extract":[171],"high-quality,":[172],"relightable":[173],"mesh":[174],"resulting":[178],"2DGS.":[179],"Extensive":[180],"quantitative":[181],"qualitative":[183],"experiments":[184],"demonstrate":[185],"superior":[187],"performance":[188],"both":[192],"text-":[193],"image-conditioned":[195],"Additionally,":[199],"enables":[203],"flexible":[204],"incorporation":[205],"priors,":[209],"knowledge-preserving":[212],"scheme":[213],"preseves":[215],"learned":[219],"massive":[221],"dataset,":[223],"leads":[225],"data":[227],"efficient":[228],"finetuning":[229],"lift":[231],"diffuison":[234],"models":[235],"merely":[240],"69":[241],"k":[242],"instances.":[244]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-11T00:00:00"}
