{"id":"https://openalex.org/W7131093216","doi":"https://doi.org/10.1109/iccvw69036.2025.00715","title":"SYM3D: Canonicalizing Triplanes via Symmetry for Single-View 3D Learning","display_name":"SYM3D: Canonicalizing Triplanes via Symmetry for Single-View 3D Learning","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131093216","doi":"https://doi.org/10.1109/iccvw69036.2025.00715"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"},"type":"article","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/A5100704232","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-8794-4842"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jing Yang","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034135468","display_name":"Kyle Fogarty","orcid":"https://orcid.org/0000-0002-1888-4006"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kyle Fogarty","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084520143","display_name":"Fangcheng Zhong","orcid":"https://orcid.org/0000-0001-5964-5282"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fangcheng Zhong","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046322671","display_name":"Cengiz \u00d6ztireli","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cengiz Oztireli","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100704232"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71617903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6919","last_page":"6927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.15639999508857727,"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":0.15639999508857727,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.14329999685287476,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.07039999961853027,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/representation","display_name":"Representation (politics)","score":0.6992999911308289},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6966000199317932},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.6723999977111816},{"id":"https://openalex.org/keywords/reflection-symmetry","display_name":"Reflection symmetry","score":0.6313999891281128},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.558899998664856},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46470001339912415}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6992999911308289},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6966000199317932},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.6723999977111816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462000012397766},{"id":"https://openalex.org/C133978748","wikidata":"https://www.wikidata.org/wiki/Q15955882","display_name":"Reflection symmetry","level":2,"score":0.6313999891281128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791000127792358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5616000294685364},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.3619999885559082},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3018999993801117},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","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":18,"referenced_works":["https://openalex.org/W1580065766","https://openalex.org/W2562256935","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W3035523051","https://openalex.org/W3106569148","https://openalex.org/W3106672182","https://openalex.org/W3207409407","https://openalex.org/W4296956857","https://openalex.org/W4312453532","https://openalex.org/W4312524869","https://openalex.org/W4385287058","https://openalex.org/W4386071565","https://openalex.org/W4386071794","https://openalex.org/W4386076275","https://openalex.org/W4390874249","https://openalex.org/W4390889720","https://openalex.org/W4394625634"],"related_works":[],"abstract_inverted_index":{"Triplane":[0],"is":[1],"an":[2],"effective":[3],"3D":[4,10,96,123],"representation":[5,57,131],"capable":[6],"of":[7,43,115,162],"generating":[8],"high-quality":[9],"assets":[11],"from":[12,19],"2D":[13],"images":[14,29],"by":[15],"synthesizing":[16],"rich":[17],"details":[18,167],"multiple":[20],"viewing":[21],"directions.":[22],"However,":[23,82],"it":[24],"relies":[25],"heavily":[26],"on":[27,128],"multi-view":[28,45],"with":[30,118],"camera":[31,99],"annotations":[32],"to":[33,51,78],"achieve":[34],"sufficient":[35],"detail":[36],"across":[37,132],"all":[38],"perspectives.":[39],"The":[40,157],"limited":[41],"availability":[42],"calibrated":[44],"image":[46],"datasets,":[47,145],"especially":[48],"when":[49],"compared":[50],"single-view":[52],"images,":[53],"has":[54],"left":[55],"triplane":[56,80,117,130],"significantly":[58],"under-constrained.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,104],"introduce":[64],"SYM3D,":[65],"which":[66],"harnesses":[67],"the":[68,88,95,116,129,160],"common":[69],"reflectional":[70],"symmetry":[71,83,164],"found":[72,170],"in":[73,90,122],"natural":[74],"and":[75,136,142,144,151,153],"man-made":[76],"objects":[77],"regulate":[79],"learning.":[81],"alone":[84],"does":[85],"not":[86],"resolve":[87],"ambiguity":[89],"each":[91,113],"plane's":[92],"focus":[93,121],"within":[94],"space":[97],"without":[98],"annotations.":[100],"To":[101],"address":[102],"this,":[103],"incorporate":[105],"a":[106,119],"view-aware":[107],"spatial":[108],"attention":[109],"mechanism":[110],"that":[111],"aligns":[112],"plane":[114],"consistent":[120],"space.":[124],"We":[125],"evaluate":[126],"SYM3D":[127],"various":[133],"frameworks":[134],"(3D-GAN":[135],"diffusion),":[137],"tasks":[138],"(reconstruction,":[139],"unconditional":[140],"generation,":[141],"text-to-3D),":[143],"including":[146],"synthetic":[147],"(ShapeNet":[148],"Chairs,":[149],"Cars,":[150],"Airplanes)":[152],"real-world":[154],"data":[155],"(ABO-Chair).":[156],"results":[158],"demonstrate":[159],"effectiveness":[161],"integrating":[163],"regularization.":[165],"More":[166],"can":[168],"be":[169],"at":[171],"our":[172],"project":[173],"page:":[174],"https://jingyang2017.github.io/sym3d.github.io/.":[175]},"counts_by_year":[],"updated_date":"2026-02-25T06:17:34.324206","created_date":"2026-02-24T00:00:00"}