{"id":"https://openalex.org/W6907669943","doi":"https://doi.org/10.2312/stag.20241341","title":"A Study on the Use of High Dynamic Range Imaging for Gaussian Splatting Methods: Are 8 bits Enough?","display_name":"A Study on the Use of High Dynamic Range Imaging for Gaussian Splatting Methods: Are 8 bits Enough?","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6907669943","doi":"https://doi.org/10.2312/stag.20241341"},"language":"en","primary_location":{"id":"pmh:oai:arpi.unipi.it:11568/1304867","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1304867","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/stag.20241341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Piras, Valentina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piras, Valentina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bonatti, Amedeo Franco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bonatti, Amedeo Franco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Maria, Carmelo De","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria, Carmelo De","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Cignoni, Paolo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cignoni, Paolo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Banterle, Francesco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Banterle, Francesco","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39954267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.31380000710487366,"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/T11019","display_name":"Image Enhancement Techniques","score":0.31380000710487366,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.27300000190734863,"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":0.23759999871253967,"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/high-dynamic-range","display_name":"High dynamic range","score":0.7991999983787537},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.5997999906539917},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5710999965667725},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4474000036716461},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3950999975204468},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.38679999113082886}],"concepts":[{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7991999983787537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785099983215332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6819000244140625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64410001039505},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.5997999906539917},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5710999965667725},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5006999969482422},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arpi.unipi.it:11568/1304867","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1304867","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.2312/stag.20241341","is_oa":true,"landing_page_url":"https://doi.org/10.2312/stag.20241341","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"doi:10.2312/stag.20241341","is_oa":true,"landing_page_url":"https://doi.org/10.2312/stag.20241341","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"},"sustainable_development_goals":[{"score":0.8155496120452881,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"recent":[1],"rise":[2],"of":[3,37,80,104,133],"Neural":[4],"Radiance":[5],"Fields":[6],"(NeRFs)-like":[7],"methods":[8],"has":[9,85],"revolutionized":[10],"high-fidelity":[11,35],"scene":[12],"reconstruction,":[13],"with":[14],"3D":[15],"Gaussian":[16],"Splatting":[17],"(3DGS)":[18],"standing":[19],"out":[20],"for":[21,60,65,140],"its":[22],"ability":[23],"to":[24,47],"generate":[25],"photorealistic":[26],"images":[27,113],"while":[28,56],"maintaining":[29],"fast,":[30],"efficient":[31,63],"rendering.":[32],"3DGS":[33,138],"delivers":[34],"representations":[36],"complex":[38],"scenes":[39],"at":[40],"any":[41],"scale":[42],"(from":[43],"very":[44],"small":[45],"objects":[46],"entire":[48],"cities),":[49],"accurately":[50],"capturing":[51],"geometry,":[52],"materials,":[53],"and":[54,62,120],"lighting,":[55],"meeting":[57],"the":[58,78,101,131,137],"need":[59],"fast":[61],"rendering-crucial":[64],"applications":[66],"requiring":[67],"real-time":[68],"performance.":[69],"Although":[70],"High":[71],"Dynamic":[72],"Range":[73],"(HDR)":[74],"technology,":[75],"which":[76],"enables":[77],"capture":[79],"comprehensive":[81],"real-world":[82,142],"lighting":[83],"information,":[84],"been":[86],"used":[87],"in":[88,126],"novel":[89],"view":[90],"synthesis,":[91],"several":[92],"questions":[93],"remain":[94],"unanswered.":[95],"For":[96],"example,":[97],"does":[98],"HDR":[99,134],"improve":[100],"overall":[102],"quality":[103,119],"reconstruction?":[105],"Are":[106],"8":[107],"bits":[108],"enough?":[109],"Can":[110],"tone":[111],"mapped":[112],"be":[114],"a":[115],"balanced":[116],"compromise":[117],"regarding":[118],"details?":[121],"To":[122],"answer":[123],"such":[124],"questions,":[125],"this":[127],"work,":[128],"we":[129],"study":[130],"application":[132],"technology":[135],"on":[136],"method":[139],"acquiring":[141],"scenes.":[143]},"counts_by_year":[],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2025-10-10T00:00:00"}