{"id":"https://openalex.org/W7157065064","doi":"https://doi.org/10.48550/arxiv.2604.23774","title":"Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions","display_name":"Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions","publication_year":2026,"publication_date":"2026-04-26","ids":{"openalex":"https://openalex.org/W7157065064","doi":"https://doi.org/10.48550/arxiv.2604.23774"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.23774","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23774","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.23774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048649152","display_name":"Etai Sella","orcid":"https://orcid.org/0009-0004-0079-0046"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sella, Etai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061660905","display_name":"Hao Phung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phung, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134771480","display_name":"Nitay Amiel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amiel, Nitay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134807662","display_name":"Or Litany","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Litany, Or","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076541595","display_name":"Or Patashnik","orcid":"https://orcid.org/0000-0001-7757-6137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patashnik, Or","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043669878","display_name":"Hadar Averbuch\u2010Elor","orcid":"https://orcid.org/0000-0003-3476-0940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Averbuch-Elor, Hadar","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":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":0.5982000231742859,"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":0.5982000231742859,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.07159999758005142,"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"}},{"id":"https://openalex.org/T12190","display_name":"Innovations in Concrete and Construction Materials","score":0.04960000142455101,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/abstraction","display_name":"Abstraction","score":0.7214000225067139},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6061000227928162},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42559999227523804},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4138999879360199},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39890000224113464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38519999384880066},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.36079999804496765},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.3407000005245209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771000266075134},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7214000225067139},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6061000227928162},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4878999888896942},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4138999879360199},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39890000224113464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3817000091075897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37610000371932983},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.3221000134944916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32109999656677246},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3077999949455261},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C2984377249","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3d printer","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.23774","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23774","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.23774","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23774","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Text-based":[0],"2D":[1],"image":[2],"editing":[3,37],"models":[4,24],"have":[5],"recently":[6],"reached":[7],"an":[8,55,75,84],"impressive":[9],"level":[10],"of":[11,17,92,128],"maturity,":[12],"motivating":[13],"a":[14,66,89,116],"growing":[15],"body":[16],"work":[18],"that":[19,69,137],"heavily":[20],"depends":[21],"on":[22],"these":[23],"to":[25,104,114],"drive":[26],"3D":[27,36,43,72,86,117,157],"edits.":[28],"While":[29],"effective":[30],"for":[31],"appearance-based":[32],"modifications,":[33],"such":[34],"2D-centric":[35],"pipelines":[38],"often":[39],"struggle":[40],"with":[41],"fine-grained":[42,71],"editing,":[44],"where":[45],"localized":[46,122],"structural":[47,109],"changes":[48],"must":[49],"be":[50],"applied":[51],"while":[52,124],"strictly":[53],"preserving":[54,125],"object's":[56],"overall":[57],"identity.":[58],"To":[59],"address":[60],"this":[61,102],"limitation,":[62],"we":[63,135],"propose":[64],"Prox-E,":[65],"training-free":[67],"framework":[68,81],"enables":[70],"control":[73],"through":[74],"explicit,":[76],"primitive-based":[77],"geometric":[78,93],"abstraction.":[79],"Our":[80],"first":[82],"abstracts":[83],"input":[85],"shape":[87,144],"into":[88],"compact":[90],"set":[91],"primitives.":[94],"A":[95],"pretrained":[96],"vision-language":[97],"model":[98],"(VLM)":[99],"then":[100],"edits":[101,110],"abstraction":[103],"specify":[105],"primitive-level":[106],"changes.":[107],"These":[108],"are":[111],"subsequently":[112],"used":[113],"guide":[115],"generative":[118],"model,":[119],"enabling":[120],"fine-grained,":[121],"modifications":[123],"unchanged":[126],"regions":[127],"the":[129],"original":[130],"shape.":[131],"Through":[132],"extensive":[133],"experiments,":[134],"demonstrate":[136],"our":[138],"method":[139],"consistently":[140],"balances":[141],"identity":[142],"preservation,":[143],"quality,":[145],"and":[146,159],"instruction":[147],"fidelity":[148],"more":[149],"effectively":[150],"than":[151],"various":[152],"existing":[153],"approaches,":[154],"including":[155],"2D-based":[156],"editors":[158],"training-based":[160],"methods.":[161]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-29T00:00:00"}
