{"id":"https://openalex.org/W7162519059","doi":"https://doi.org/10.1109/3dv69130.2026.00063","title":"Toon3d: Seeing Cartoons From New Perspectives","display_name":"Toon3d: Seeing Cartoons From New Perspectives","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7162519059","doi":"https://doi.org/10.1109/3dv69130.2026.00063"},"language":null,"primary_location":{"id":"doi:10.1109/3dv69130.2026.00063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","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/A5004942210","display_name":"Ethan Weber","orcid":"https://orcid.org/0000-0002-1117-2372"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ethan Weber","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098684227","display_name":"Riley Peterlinz","orcid":null},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Riley Peterlinz","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109722249","display_name":"R. Mathur","orcid":null},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohan Mathur","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137158012","display_name":"Frederik Warburg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149916","display_name":"Tea Research Institute","ror":"https://ror.org/056w1kd89","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210149916","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Frederik Warburg","raw_affiliation_strings":["Teton.ai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Teton.ai","institution_ids":["https://openalex.org/I4210149916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137167414","display_name":"Alexei A. Efros","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149916","display_name":"Tea Research Institute","ror":"https://ror.org/056w1kd89","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210149916","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Alexei A. Efros","raw_affiliation_strings":["Teton.ai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Teton.ai","institution_ids":["https://openalex.org/I4210149916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031491881","display_name":"Angjoo Kanazawa","orcid":"https://orcid.org/0000-0003-2592-8430"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angjoo Kanazawa","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"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":0.82962123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"598","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.1340000033378601,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12290","display_name":"Human Motion and Animation","score":0.1340000033378601,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.11100000143051147,"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/T10799","display_name":"Data Visualization and Analytics","score":0.039900001138448715,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.5789999961853027},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5297999978065491},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5027999877929688},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.44350001215934753},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43720000982284546},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.413100004196167},{"id":"https://openalex.org/keywords/storytelling","display_name":"Storytelling","score":0.4117000102996826},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.3418999910354614}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6478999853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477000117301941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5967000126838684},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5789999961853027},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5027999877929688},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C2776538412","wikidata":"https://www.wikidata.org/wiki/Q989963","display_name":"Storytelling","level":3,"score":0.4117000102996826},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.3418999910354614},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C118130439","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Anime","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25119999051094055},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv69130.2026.00063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W300217873","https://openalex.org/W1566289585","https://openalex.org/W1592011777","https://openalex.org/W1971866894","https://openalex.org/W1984677466","https://openalex.org/W2013640163","https://openalex.org/W2033819227","https://openalex.org/W2117411572","https://openalex.org/W2395937778","https://openalex.org/W2471962767","https://openalex.org/W2536680313","https://openalex.org/W2739245956","https://openalex.org/W2776033207","https://openalex.org/W2808571300","https://openalex.org/W2963850211","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3095481265","https://openalex.org/W3114462840","https://openalex.org/W3153220274","https://openalex.org/W3166285241","https://openalex.org/W3200461691","https://openalex.org/W3216476011","https://openalex.org/W4214731463","https://openalex.org/W4235111023","https://openalex.org/W4256017923","https://openalex.org/W4285131740","https://openalex.org/W4312976867","https://openalex.org/W4366407873","https://openalex.org/W4378450585","https://openalex.org/W4385318467","https://openalex.org/W4385490099","https://openalex.org/W4386075627","https://openalex.org/W4390871705","https://openalex.org/W4390874575","https://openalex.org/W4395465999","https://openalex.org/W4399564125","https://openalex.org/W4402667896","https://openalex.org/W4402753888","https://openalex.org/W4402816534","https://openalex.org/W4413145529"],"related_works":[],"abstract_inverted_index":{"We":[0,68,112,154],"recover":[1],"the":[2,13,51,82,105],"underlying":[3,52],"3D":[4,41,53,64],"structure":[5,106],"from":[6,55,108,119,149],"images":[7,23,84],"of":[8],"cartoons":[9,120,148],"and":[10,36,89,121,158,173],"anime":[11,122],"depicting":[12],"same":[14],"scene.":[15],"This":[16,100],"is":[17,79,102,165],"an":[18],"interesting":[19],"problem":[20],"domain":[21],"because":[22],"in":[24,42],"creative":[25,37],"media":[26],"are":[27,39],"often":[28],"depicted":[29],"without":[30],"explicit":[31],"geometric":[32],"consistency":[33,65],"for":[34,71],"storytelling":[35],"expression-they":[38],"only":[40],"a":[43,114],"qualitative":[44],"sense.":[45],"While":[46],"humans":[47],"can":[48,139],"easily":[49],"perceive":[50],"scene":[54,90,174],"these":[56],"images,":[57],"existing":[58],"Structure-from-Motion":[59],"(SfM)":[60],"methods":[61,145],"that":[62,123],"assume":[63],"fail":[66],"catastrophically.":[67],"present":[69],"Toon3D":[70,164],"reconstructing":[72],"geometrically":[73],"inconsistent":[74],"images.":[75],"Our":[76,135],"key":[77],"insight":[78],"to":[80,97,146,167],"deform":[81],"input":[83],"while":[85],"recovering":[86],"camera":[87,171],"poses":[88,172],"geometry,":[91],"effectively":[92],"explaining":[93],"away":[94],"geometrical":[95],"inconsistencies":[96],"achieve":[98],"consistency.":[99],"process":[101],"guided":[103],"by":[104],"inferred":[107],"monocular":[109],"depth":[110],"predictions.":[111],"curate":[113],"dataset":[115],"with":[116,126],"multi-view":[117],"imagery":[118],"we":[124],"annotate":[125],"reliable":[127,170],"sparse":[128],"correspondences":[129],"using":[130],"our":[131],"user-friendly":[132],"annotation":[133],"tool.":[134],"recovered":[136],"point":[137],"clouds":[138],"be":[140],"plugged":[141],"into":[142],"novel-view":[143],"synthesis":[144],"experience":[147],"viewpoints":[150],"never":[151],"drawn":[152],"before.":[153],"evaluate":[155],"against":[156],"classical":[157],"recent":[159],"learning-based":[160],"SfM":[161],"methods,":[162],"where":[163],"able":[166],"obtain":[168],"more":[169],"geometry.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-28T00:00:00"}
