{"id":"https://openalex.org/W7127891610","doi":"https://doi.org/10.48550/arxiv.2602.05676","title":"ShapeUP: Scalable Image-Conditioned 3D Editing","display_name":"ShapeUP: Scalable Image-Conditioned 3D Editing","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7127891610","doi":"https://doi.org/10.48550/arxiv.2602.05676"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.05676","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","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/A5099096960","display_name":"Inbar Gat","orcid":"https://orcid.org/0009-0003-9999-9888"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gat, Inbar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125124057","display_name":"Dana Cohen-Bar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen-Bar, Dana","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125139091","display_name":"Guy Levy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Levy, Guy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016129501","display_name":"Elad Richardson","orcid":"https://orcid.org/0009-0002-1784-3736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richardson, Elad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125158482","display_name":"Daniel Cohen-Or","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen-Or, Daniel","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5099096960"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.38519999384880066,"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":0.38519999384880066,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.07569999992847443,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.07000000029802322,"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/scalability","display_name":"Scalability","score":0.5834000110626221},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5392000079154968},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5217999815940857},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4828999936580658},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4316999912261963},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.34119999408721924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8306000232696533},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5834000110626221},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5392000079154968},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5217999815940857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013999938964844},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4828999936580658},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3723999857902527},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2921999990940094},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.26030001044273376},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.05676","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.05676","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.05676","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.05676","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Recent":[0],"advancements":[1],"in":[2,192],"3D":[3,15,22,77,91,102,129,139,148,207],"foundation":[4,103],"models":[5],"have":[6],"enabled":[7],"the":[8,136,176],"generation":[9],"of":[10,126],"high-fidelity":[11],"assets,":[12],"yet":[13],"precise":[14],"manipulation":[16,54],"remains":[17],"a":[18,27,74,84,89,100,127,143,147,200],"significant":[19],"challenge.":[20],"Existing":[21],"editing":[23,78,82,114],"frameworks":[24],"often":[25],"face":[26],"difficult":[28],"trade-off":[29],"between":[30],"visual":[31,49,157],"controllability,":[32],"geometric":[33],"consistency,":[34],"and":[35,51,62,135,141,162,165,189,196,202],"scalability.":[36],"Specifically,":[37],"optimization-based":[38],"methods":[39,55],"are":[40,56],"prohibitively":[41],"slow,":[42],"multi-view":[43],"2D":[44,133],"propagation":[45],"techniques":[46],"suffer":[47],"from":[48,66],"drift,":[50],"training-free":[52,190],"latent":[53],"inherently":[57],"bound":[58],"by":[59],"frozen":[60],"priors":[61],"cannot":[63],"directly":[64],"benefit":[65],"scaling.":[67],"In":[68,118],"this":[69],"work,":[70],"we":[71],"present":[72],"ShapeUP,":[73],"scalable,":[75],"image-conditioned":[76],"framework":[79],"that":[80,183],"formulates":[81],"as":[83],"supervised":[85,116],"latent-to-latent":[86],"translation":[87],"within":[88],"native":[90,206],"representation.":[92],"This":[93,152],"formulation":[94],"allows":[95],"ShapeUP":[96,120,184],"to":[97,113],"build":[98],"on":[99,123],"pretrained":[101],"model,":[104],"leveraging":[105],"its":[106],"strong":[107],"generative":[108],"prior":[109],"while":[110,170],"adapting":[111],"it":[112],"through":[115],"training.":[117],"practice,":[119],"is":[121],"trained":[122,188],"triplets":[124],"consisting":[125],"source":[128],"shape,":[130,140],"an":[131],"edited":[132,138],"image,":[134],"corresponding":[137],"learns":[142],"direct":[144],"mapping":[145],"using":[146],"Diffusion":[149],"Transformer":[150],"(DiT).":[151],"image-as-prompt":[153],"approach":[154],"enables":[155],"fine-grained":[156],"control":[158],"over":[159],"both":[160,193],"local":[161],"global":[163],"edits":[164],"achieves":[166],"implicit,":[167],"mask-free":[168],"localization,":[169],"maintaining":[171],"strict":[172],"structural":[173],"consistency":[174],"with":[175],"original":[177],"asset.":[178],"Our":[179],"extensive":[180],"evaluations":[181],"demonstrate":[182],"consistently":[185],"outperforms":[186],"current":[187],"baselines":[191],"identity":[194],"preservation":[195],"edit":[197],"fidelity,":[198],"offering":[199],"robust":[201],"scalable":[203],"paradigm":[204],"for":[205],"content":[208],"creation.":[209]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}
