{"id":"https://openalex.org/W7169184955","doi":"https://doi.org/10.1145/3799902.3811141","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":"2026-07-16","ids":{"openalex":"https://openalex.org/W7169184955","doi":"https://doi.org/10.1145/3799902.3811141"},"language":null,"primary_location":{"id":"doi:10.1145/3799902.3811141","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811141","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3799902.3811141","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048649152","display_name":"Etai Sella","orcid":"https://orcid.org/0009-0004-0079-0046"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Etai Sella","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":"https://orcid.org/0009-0004-0079-0046","affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061660905","display_name":"Hao Phung","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4405261073","display_name":"Cornell Tech","ror":"https://ror.org/04qscbg47","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Phung","raw_affiliation_strings":["Cornell Tech, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-6834-4139","affiliations":[{"raw_affiliation_string":"Cornell Tech, New York, USA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141043040","display_name":"Nitay Amiel","orcid":"https://orcid.org/0009-0009-5492-8334"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nitay Amiel","raw_affiliation_strings":["Technion - Israel Institute of Technology, Haifa, Israel"],"raw_orcid":"https://orcid.org/0009-0009-5492-8334","affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006347979","display_name":"Or Litany","orcid":"https://orcid.org/0000-0001-6700-7379"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Or Litany","raw_affiliation_strings":["Technion - Israel Institute of Technology, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0001-6700-7379","affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076541595","display_name":"Or Patashnik","orcid":"https://orcid.org/0000-0001-7757-6137"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Or Patashnik","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":"https://orcid.org/0000-0001-7757-6137","affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043669878","display_name":"Hadar Averbuch\u2010Elor","orcid":"https://orcid.org/0000-0003-3476-0940"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4405261073","display_name":"Cornell Tech","ror":"https://ror.org/04qscbg47","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hadar Averbuch-Elor","raw_affiliation_strings":["Cornell Tech, New York, USA"],"raw_orcid":"https://orcid.org/0000-0003-3476-0940","affiliations":[{"raw_affiliation_string":"Cornell Tech, New York, USA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4405261073"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.7181000113487244},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6007999777793884},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4853000044822693},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.48190000653266907},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4230000078678131},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38609999418258667},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.3467999994754791},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.34630000591278076},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.32679998874664307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835000157356262},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7181000113487244},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6007999777793884},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.48190000653266907},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4230000078678131},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3799902.3811141","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811141","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3799902.3811141","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811141","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2023751161","https://openalex.org/W2557269700","https://openalex.org/W2981010689","https://openalex.org/W2985683375","https://openalex.org/W3035689117","https://openalex.org/W3180251767","https://openalex.org/W4313041309","https://openalex.org/W4385527421","https://openalex.org/W4385573471","https://openalex.org/W4386072322","https://openalex.org/W4389334893","https://openalex.org/W4389539682","https://openalex.org/W4390872653","https://openalex.org/W4390873294","https://openalex.org/W4390873542","https://openalex.org/W4400573492","https://openalex.org/W4400582135","https://openalex.org/W4400819283","https://openalex.org/W4402753669","https://openalex.org/W4402753866","https://openalex.org/W4402817055","https://openalex.org/W4409262966","https://openalex.org/W4413145265","https://openalex.org/W4413145506","https://openalex.org/W4413145763","https://openalex.org/W4413146242","https://openalex.org/W4413146851","https://openalex.org/W4413147423","https://openalex.org/W4413156811","https://openalex.org/W4413556737","https://openalex.org/W7133245972","https://openalex.org/W7160041505","https://openalex.org/W7160149577","https://openalex.org/W7160154152","https://openalex.org/W7160166907","https://openalex.org/W7160194016","https://openalex.org/W7162538853"],"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":[8,55,77,86],"impressive":[9],"level":[10],"of":[11,17,94,130],"maturity,":[12],"motivating":[13],"a":[14,68,91,118],"growing":[15],"body":[16],"work":[18],"that":[19,71,139],"heavily":[20],"depends":[21],"on":[22],"these":[23],"to":[25,106,116],"drive":[26],"3D":[27,36,43,74,88,119,159],"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":[42,73],"editing,":[44],"where":[45],"localized":[46,124],"structural":[47,111],"changes":[48],"must":[49],"be":[50],"applied":[51],"while":[52,126],"strictly":[53],"preserving":[54,127],"object\u2019s":[56],"overall":[57],"identity.":[58],"To":[59],"address":[60],"this":[61,104],"limitation,":[62],"we":[63,137],"propose":[64],"Prox":[65],"\u00b7":[66],"E,":[67],"training-free":[69],"framework":[70,83],"enables":[72],"control":[75],"through":[76],"explicit,":[78],"primitive-based":[79],"geometric":[80,95],"abstraction.":[81],"Our":[82],"first":[84],"abstracts":[85],"input":[87],"shape":[89,146],"into":[90],"compact":[92],"set":[93],"primitives.":[96],"A":[97],"pretrained":[98],"vision\u2013language":[99],"model":[100],"(VLM)":[101],"then":[102],"edits":[103,112],"abstraction":[105],"specify":[107],"primitive-level":[108],"changes.":[109],"These":[110],"are":[113],"subsequently":[114],"used":[115],"guide":[117],"generative":[120],"model,":[121],"enabling":[122],"fine-grained,":[123],"modifications":[125],"unchanged":[128],"regions":[129],"the":[131],"original":[132],"shape.":[133],"Through":[134],"extensive":[135],"experiments,":[136],"demonstrate":[138],"our":[140],"method":[141],"consistently":[142],"balances":[143],"identity":[144],"preservation,":[145],"quality,":[147],"and":[148,161],"instruction":[149],"fidelity":[150],"more":[151],"effectively":[152],"than":[153],"various":[154],"existing":[155],"approaches,":[156],"including":[157],"2D-based":[158],"editors":[160],"training-based":[162],"methods.":[163]},"counts_by_year":[],"updated_date":"2026-07-17T05:58:32.477365","created_date":"2026-07-17T00:00:00"}