{"id":"https://openalex.org/W7139967284","doi":"https://doi.org/10.48550/arxiv.2603.19226","title":"Under One Sun: Multi-Object Generative Perception of Materials and Illumination","display_name":"Under One Sun: Multi-Object Generative Perception of Materials and Illumination","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139967284","doi":"https://doi.org/10.48550/arxiv.2603.19226"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.19226","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19226","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":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.2603.19226","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053923489","display_name":"Nobuo YOSHII","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoshii, Nobuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102676513","display_name":"Xinran Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Xinran Nicole","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120914357","display_name":"Ryo Kawahara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kawahara, Ryo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073071472","display_name":"Todd Zickler","orcid":"https://orcid.org/0000-0002-3853-1558"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zickler, Todd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034253077","display_name":"Ko Nishino","orcid":"https://orcid.org/0000-0002-3534-3447"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nishino, Ko","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.6018999814987183,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.6018999814987183,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.33309999108314514,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.020800000056624413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6642000079154968},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5310999751091003},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49129998683929443},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44850000739097595},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.430400013923645},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.4255000054836273},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.40560001134872437},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.391400009393692},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.358599990606308}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7588000297546387},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7300000190734863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784999966621399},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6642000079154968},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44850000739097595},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.4255000054836273},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.358599990606308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.32749998569488525},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.29440000653266907},{"id":"https://openalex.org/C165164221","wikidata":"https://www.wikidata.org/wiki/Q261078","display_name":"Bidirectional texture function","level":5,"score":0.2937000095844269},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.27390000224113464},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C143025027","wikidata":"https://www.wikidata.org/wiki/Q900581","display_name":"Gloss (optics)","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.19226","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19226","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.19226","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19226","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"We":[0],"introduce":[1],"Multi-Object":[2],"Generative":[3],"Perception":[4],"(MultiGP),":[5],"a":[6,28,79,91,107,124],"generative":[7],"inverse":[8],"rendering":[9],"method":[10],"for":[11,103],"stochastic":[12],"sampling":[13],"of":[14,73,82,120,152],"all":[15,60],"radiometric":[16,39],"constituents":[17],"--":[18,23],"reflectance,":[19,74],"texture,":[20,75],"and":[21,50,76,98,123,149,160],"illumination":[22,77,110],"underlying":[24],"object":[25,154],"appearance":[26],"from":[27,78,136],"single":[29,80,108],"image.":[30],"Our":[31],"key":[32,88],"idea":[33],"to":[34,42,70,106,115,128,156],"solve":[35],"this":[36,68],"inherently":[37],"ambiguous":[38],"disentanglement":[40],"is":[41],"leverage":[43],"the":[44,56,63,146,165],"fact":[45],"that":[46,95,142],"while":[47,133],"their":[48],"texture":[49,131,159],"reflectance":[51,161],"may":[52],"differ,":[53],"objects":[54,119],"in":[55],"same":[57,64],"scene":[58],"are":[59],"lit":[61],"by":[62],"illumination.":[65,167],"MultiGP":[66,143],"exploits":[67],"consensus":[69],"produce":[71],"samples":[72],"image":[81],"known":[83],"shapes":[84],"based":[85],"on":[86],"four":[87],"technical":[89],"contributions:":[90],"cascaded":[92],"end-to-end":[93],"architecture":[94],"combines":[96],"image-space":[97],"angular-space":[99],"disentanglement;":[100],"Coordinated":[101],"Scheduling":[102],"diffusion":[104],"convergence":[105],"consistent":[109],"estimate;":[111],"Axial":[112],"Attention":[113],"applied":[114],"facilitate":[116],"``cross-talk''":[117],"between":[118],"different":[121],"reflectance;":[122],"Texture":[125],"Extraction":[126],"ControlNet":[127],"preserve":[129],"high-frequency":[130],"details":[132],"ensuring":[134],"decoupling":[135],"estimated":[137],"lighting.":[138],"Experimental":[139],"results":[140],"demonstrate":[141],"effectively":[144],"leverages":[145],"complementary":[147],"spatial":[148],"frequency":[150],"characteristics":[151],"multiple":[153],"appearances":[155],"recover":[157],"individual":[158],"as":[162,164],"well":[163],"common":[166]},"counts_by_year":[],"updated_date":"2026-07-04T06:09:54.619538","created_date":"2026-03-21T00:00:00"}
