{"id":"https://openalex.org/W4416171638","doi":"https://doi.org/10.3390/jimaging11110411","title":"Neural Radiance Fields: Driven Exploration of Visual Communication and Spatial Interaction Design for Immersive Digital Installations","display_name":"Neural Radiance Fields: Driven Exploration of Visual Communication and Spatial Interaction Design for Immersive Digital Installations","publication_year":2025,"publication_date":"2025-11-13","ids":{"openalex":"https://openalex.org/W4416171638","doi":"https://doi.org/10.3390/jimaging11110411","pmid":"https://pubmed.ncbi.nlm.nih.gov/41295128"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11110411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11110411","pdf_url":"https://www.mdpi.com/2313-433X/11/11/411/pdf?version=1763029466","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/11/411/pdf?version=1763029466","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109534701","display_name":"Wenjun Li","orcid":"https://orcid.org/0000-0001-8533-6432"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanshu Li","raw_affiliation_strings":["College of Fine Arts, Jiangxi Normal University, Nanchang 330022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Fine Arts, Jiangxi Normal University, Nanchang 330022, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057405085","display_name":"Yuanhui Hu","orcid":"https://orcid.org/0009-0006-6669-5708"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhui Hu","raw_affiliation_strings":["College of Fine Arts, Jiangxi Normal University, Nanchang 330022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Fine Arts, Jiangxi Normal University, Nanchang 330022, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109534701"],"corresponding_institution_ids":["https://openalex.org/I53592917"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30178242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"11","first_page":"411","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.23399999737739563,"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"}},"topics":[{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.23399999737739563,"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/T12290","display_name":"Human Motion and Animation","score":0.11050000041723251,"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.10559999942779541,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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":0.7028999924659729},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.3741999864578247},{"id":"https://openalex.org/keywords/interaction-technique","display_name":"Interaction technique","score":0.3467999994754791},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.3294999897480011},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3287999927997589},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.3262999951839447},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.3206999897956848},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3140000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8791999816894531},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7028999924659729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6000000238418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605999827384949},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C62402345","wikidata":"https://www.wikidata.org/wiki/Q18921192","display_name":"Interaction technique","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.2793000042438507},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/jimaging11110411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11110411","pdf_url":"https://www.mdpi.com/2313-433X/11/11/411/pdf?version=1763029466","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41295128","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41295128","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:5e36fa1a4b8f40a6b174f14a576d25e9","is_oa":true,"landing_page_url":"https://doaj.org/article/5e36fa1a4b8f40a6b174f14a576d25e9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 11, Iss 11, p 411 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging11110411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11110411","pdf_url":"https://www.mdpi.com/2313-433X/11/11/411/pdf?version=1763029466","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4416171638.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2909697637","https://openalex.org/W3108033802","https://openalex.org/W3127555982","https://openalex.org/W3182326832","https://openalex.org/W3187095815","https://openalex.org/W3207543656","https://openalex.org/W3208625385","https://openalex.org/W3213217810","https://openalex.org/W3214074450","https://openalex.org/W4229364252","https://openalex.org/W4287835443","https://openalex.org/W4296324287","https://openalex.org/W4308933317","https://openalex.org/W4311799847","https://openalex.org/W4319836325","https://openalex.org/W4320083022","https://openalex.org/W4376851264","https://openalex.org/W4379527433","https://openalex.org/W4382315630","https://openalex.org/W4386864869","https://openalex.org/W4391620825","https://openalex.org/W4391681655","https://openalex.org/W4391791470","https://openalex.org/W4400403028","https://openalex.org/W4406621725"],"related_works":[],"abstract_inverted_index":{"In":[0,188,219],"immersive":[1,229],"digital":[2],"devices,":[3],"high":[4],"environmental":[5],"complexity":[6],"can":[7,176],"lead":[8],"to":[9,51,65,94,116],"rendering":[10,115,154],"delays":[11],"and":[12,32,60,70,81,89,113,140,165,181,205,246],"loss":[13],"of":[14,127],"interactive":[15],"details,":[16],"resulting":[17],"in":[18,130,231,242],"a":[19,25,38,78],"fragmented":[20],"experience.":[21],"This":[22],"paper":[23],"proposes":[24],"lightweight":[26],"NeRF":[27,102],"(Neural":[28],"Radiance":[29],"Fields)":[30],"modeling":[31],"multimodal":[33,75],"perception":[34],"fusion":[35],"method.":[36],"First,":[37],"sparse":[39],"hash":[40],"code":[41],"is":[42,87,92,104,133,145,158,168,201,210],"constructed":[43],"based":[44],"on":[45],"Instant-NGP":[46],"(Instant":[47],"Neural":[48],"Graphics":[49],"Primitives)":[50],"accelerate":[52],"scene":[53],"radiance":[54],"field":[55],"generation.":[56],"Second,":[57],"parameter":[58],"distillation":[59],"channel":[61],"pruning":[62],"are":[63],"used":[64,93],"reduce":[66,71],"the":[67,100,107,124,141,166,196,206,239,249],"model's":[68],"size":[69,126],"computational":[72],"overheads.":[73],"Next,":[74],"data":[76],"from":[77],"depth":[79],"camera":[80],"an":[82],"IMU":[83],"(Inertial":[84],"Measurement":[85],"Unit)":[86],"fused,":[88],"Kalman":[90],"filtering":[91],"improve":[95],"pose":[96],"tracking":[97],"accuracy.":[98],"Finally,":[99],"optimized":[101],"model":[103],"integrated":[105],"into":[106],"Unity":[108],"engine,":[109],"utilizing":[110],"custom":[111],"shaders":[112],"asynchronous":[114],"achieve":[117],"low-latency":[118],"viewpoint":[119],"responsiveness.":[120],"Experiments":[121],"show":[122],"that":[123,190],"file":[125],"this":[128,221],"method":[129],"high-complexity":[131],"scenes":[132],"only":[134,146,202],"79.5":[135],"MB":[136],"\u00b1":[137,149,160,170],"5.3":[138],"MB,":[139],"first":[142],"loading":[143],"time":[144],"2.9":[147],"s":[148],"0.4":[150],"s,":[151],"effectively":[152],"reducing":[153],"latency.":[155],"The":[156],"SSIM":[157],"0.951":[159],"0.016":[161],"at":[162,172,212],"1.5":[163,173],"m/s,":[164],"GME":[167],"7.68":[169],"0.15":[171],"m/s.":[174],"It":[175],"stably":[177],"restore":[178],"texture":[179],"details":[180],"edge":[182],"sharpness":[183],"under":[184],"dynamic":[185,244],"viewing":[186],"angles.":[187],"scenarios":[189],"support":[191],"3-5":[192],"people":[193],"interacting":[194],"simultaneously,":[195],"average":[197,207],"interaction":[198,217,230],"response":[199],"delay":[200],"16.3":[203],"ms,":[204],"jitter":[208],"error":[209],"controlled":[211],"0.12\u00b0,":[213],"significantly":[214],"improving":[215],"spatial":[216],"performance.":[218],"conclusion,":[220],"study":[222],"provides":[223],"effective":[224],"technical":[225],"solutions":[226],"for":[227,253],"high-quality":[228],"complex":[232],"public":[233],"scenarios.":[234],"Future":[235],"work":[236],"will":[237],"explore":[238],"framework's":[240],"adaptability":[241],"larger-scale":[243],"environments":[245],"further":[247],"optimize":[248],"network":[250],"synchronization":[251],"mechanism":[252],"multi-user":[254],"concurrency.":[255]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-13T00:00:00"}
