{"id":"https://openalex.org/W4402451312","doi":"https://doi.org/10.1109/tvcg.2024.3456184","title":"VPRF: Visual Perceptual Radiance Fields for Foveated Image Synthesis","display_name":"VPRF: Visual Perceptual Radiance Fields for Foveated Image Synthesis","publication_year":2024,"publication_date":"2024-09-11","ids":{"openalex":"https://openalex.org/W4402451312","doi":"https://doi.org/10.1109/tvcg.2024.3456184","pmid":"https://pubmed.ncbi.nlm.nih.gov/39259633"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2024.3456184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2024.3456184","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zijun Wang","orcid":"https://orcid.org/0000-0003-1105-8542"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijun Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750606","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0002-3863-8814"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101555638","display_name":"Runze Fan","orcid":"https://orcid.org/0000-0002-4694-7086"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runze Fan","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019419036","display_name":"Wei Ke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Ke","raw_affiliation_strings":["Faculty of Applied Sciences, Macau Polytechnic University, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Sciences, Macau Polytechnic University, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356421","display_name":"Lili Wang","orcid":"https://orcid.org/0000-0003-1105-8542"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.98,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7691763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"30","issue":"11","first_page":"7183","last_page":"7192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9782999753952026,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9782999753952026,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9677000045776367,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9498000144958496,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.831943690776825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395798563957214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7275485992431641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6974431276321411},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5711427927017212},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4735371768474579},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4579313099384308},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34092092514038086},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19024550914764404}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.831943690776825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395798563957214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7275485992431641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974431276321411},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5711427927017212},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4735371768474579},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4579313099384308},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34092092514038086},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19024550914764404},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2024.3456184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2024.3456184","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:39259633","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39259633","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G4056020944","display_name":null,"funder_award_id":"Z221100007722004","funder_id":"https://openalex.org/F4320335843","funder_display_name":"Beijing Science and Technology Planning Project"},{"id":"https://openalex.org/G5158269727","display_name":null,"funder_award_id":"61932003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G713339519","display_name":null,"funder_award_id":"2019YFC1521102","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8494936032","display_name":null,"funder_award_id":"62372026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335843","display_name":"Beijing Science and Technology Planning Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1968607211","https://openalex.org/W1975731237","https://openalex.org/W1990529769","https://openalex.org/W2072528763","https://openalex.org/W2094627922","https://openalex.org/W2096391334","https://openalex.org/W2498842387","https://openalex.org/W2588321605","https://openalex.org/W2765811365","https://openalex.org/W2883631892","https://openalex.org/W2941909038","https://openalex.org/W2963729367","https://openalex.org/W2964288609","https://openalex.org/W2981357258","https://openalex.org/W2983810994","https://openalex.org/W3095951499","https://openalex.org/W3134621679","https://openalex.org/W3136656704","https://openalex.org/W3209109403","https://openalex.org/W3213771853","https://openalex.org/W4200150166","https://openalex.org/W4200478312","https://openalex.org/W4214564891","https://openalex.org/W4221151978","https://openalex.org/W4224944713","https://openalex.org/W4280545668","https://openalex.org/W4293811398","https://openalex.org/W4297094558","https://openalex.org/W4312234520","https://openalex.org/W4312258500","https://openalex.org/W4312268073","https://openalex.org/W4312325284","https://openalex.org/W4313451221","https://openalex.org/W4367662584","https://openalex.org/W4386075614"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W1994657804","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2157702764","https://openalex.org/W2508448752"],"abstract_inverted_index":{"Neural":[0],"radiance":[1,48,72,91,135],"fields":[2,49],"(NeRF)":[3],"has":[4],"achieved":[5],"revolutionary":[6],"breakthrough":[7],"in":[8,34,156],"the":[9,25,54,58,71,80,87,107,123,131,134,139,157,164,170],"novel":[10,44],"view":[11],"synthesis":[12],"task":[13],"for":[14,27,53],"complex":[15],"3D":[16],"scenes.":[17],"However,":[18],"this":[19,38],"new":[20],"paradigm":[21],"struggles":[22],"to":[23,106,121,163],"meet":[24],"requirements":[26],"real-time":[28],"rendering":[29,74,176],"and":[30,61,82,129,154,159],"high":[31],"perceptual":[32,46,99],"quality":[33],"virtual":[35],"reality.":[36],"In":[37],"paper,":[39],"we":[40,77,95,114],"propose":[41,96,115],"VPRF,":[42],"a":[43,97,116],"visual":[45,59,67,83,98,180],"based":[47,137],"representation":[50,132],"method,":[51],"which":[52],"first":[55],"time":[56],"integrates":[57],"acuity":[60],"contrast":[62],"sensitivity":[63,84,109],"models":[64],"of":[65,86,110,125,133,169],"human":[66],"system":[68],"(HVS)":[69],"into":[70,89],"field":[73,92,136],"framework.":[75],"Initially,":[76],"encode":[78],"both":[79],"appearance":[81],"information":[85],"scene":[88,140],"our":[90,126,146,175],"representation.":[93],"Then,":[94],"sampling":[100,117,127],"strategy,":[101],"allocating":[102],"computational":[103],"resources":[104],"according":[105],"HVS":[108],"different":[111],"regions.":[112],"Finally,":[113],"weight-constrained":[118],"training":[119],"scheme":[120],"ensure":[122],"effectiveness":[124],"strategy":[128],"improve":[130],"on":[138],"content.":[141],"Experimental":[142],"results":[143,168,177],"demonstrate":[144],"that":[145,174],"method":[147],"renders":[148],"more":[149],"efficiently,":[150],"with":[151],"higher":[152],"PSNR":[153],"SSIM":[155],"foveal":[158],"salient":[160],"regions":[161],"compared":[162],"state-of-the-art":[165],"FoV-NeRF.":[166],"The":[167],"user":[171],"study":[172],"confirm":[173],"exhibit":[178],"high-fidelity":[179],"perception.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
