{"id":"https://openalex.org/W7160311924","doi":"https://doi.org/10.1109/wacv61042.2026.00803","title":"SpecGen: Neural Spectral BRDF Generation via Spectral-Spatial Tri-plane Aggregation","display_name":"SpecGen: Neural Spectral BRDF Generation via Spectral-Spatial Tri-plane Aggregation","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160311924","doi":"https://doi.org/10.1109/wacv61042.2026.00803"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5135340671","display_name":"Zhenyu Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Jin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135378476","display_name":"Wenjie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135398992","display_name":"Zhanyu Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyu Ma","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058607221","display_name":"Heng Guo","orcid":"https://orcid.org/0000-0003-0047-3927"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"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":"8323","last_page":"8332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.17020000517368317,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.17020000517368317,"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"}},{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.049400001764297485,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.043299999088048935,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.41530001163482666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3336000144481659},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.290800005197525},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.25529998540878296}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40790000557899475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2793999910354614},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2727999985218048},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4417435824871063,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1494645067","https://openalex.org/W2150810898","https://openalex.org/W2159269332","https://openalex.org/W2303172903","https://openalex.org/W2533102868","https://openalex.org/W2736596523","https://openalex.org/W2752782242","https://openalex.org/W2811490555","https://openalex.org/W2891396148","https://openalex.org/W2902979570","https://openalex.org/W2922509574","https://openalex.org/W2964984565","https://openalex.org/W2965557046","https://openalex.org/W3039219616","https://openalex.org/W3090135481","https://openalex.org/W3097535550","https://openalex.org/W3186445620","https://openalex.org/W3208687975","https://openalex.org/W4200150166","https://openalex.org/W4224278419","https://openalex.org/W4226277663","https://openalex.org/W4282917439","https://openalex.org/W4285102336","https://openalex.org/W4311802430","https://openalex.org/W4312628443","https://openalex.org/W4312863973","https://openalex.org/W4378464448","https://openalex.org/W4386075614","https://openalex.org/W4386952144","https://openalex.org/W4396878040","https://openalex.org/W4401917881","https://openalex.org/W4402753740","https://openalex.org/W4403791406","https://openalex.org/W4403924347","https://openalex.org/W4403941400","https://openalex.org/W7129078266"],"related_works":[],"abstract_inverted_index":{"Synthesizing":[0],"spectral":[1,13,21,30,46,63,71,106,116,120],"images":[2,19],"across":[3,89],"different":[4],"wavelengths":[5,90],"is":[6,66],"essential":[7],"for":[8],"photorealistic":[9],"rendering.":[10],"Unlike":[11],"conventional":[12],"uplifting":[14],"methods":[15,125],"that":[16,28,111],"convert":[17],"RGB":[18,39,101],"into":[20],"ones,":[22],"we":[23,77],"introduce":[24],"SpecGen,":[25],"a":[26,37,42],"method":[27,113],"generates":[29],"bidirectional":[31],"reflectance":[32,87],"distribution":[33],"functions":[34],"(BRDFs)":[35],"from":[36,118],"single":[38],"image":[40,47,128],"of":[41,69,133],"sphere.":[43],"This":[44],"enables":[45],"rendering":[48],"under":[49],"arbitrary":[50],"illuminations":[51],"and":[52,91,122],"shapes":[53],"covered":[54],"by":[55],"the":[56,67,79,95],"corresponding":[57],"material.":[58],"A":[59],"key":[60],"challenge":[61],"in":[62,126,135],"BRDF":[64,72,102,107],"generation":[65],"scarcity":[68],"measured":[70],"data.":[73],"To":[74],"address":[75],"this,":[76],"propose":[78],"Spectral-Spatial":[80],"Tri-plane":[81],"Aggregation":[82],"(SSTA)":[83],"network,":[84],"which":[85],"models":[86],"responses":[88],"incident-outgoing":[92],"directions,":[93],"allowing":[94],"training":[96],"strategy":[97],"to":[98,104],"leverage":[99],"abundant":[100],"data":[103,121],"enhance":[105],"generation.":[108],"Experiments":[109],"show":[110],"our":[112],"accurately":[114],"reconstructs":[115],"BRDFs":[117],"limited":[119],"surpasses":[123],"existing":[124],"hyperspectral":[127],"reconstruction,":[129],"achieving":[130],"an":[131],"improvement":[132],"8dB":[134],"PSNR.":[136],"Codes":[137],"link:":[138],"https://github.com/sosjzy/SpecGen.":[139]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-06T00:00:00"}