{"id":"https://openalex.org/W4414787371","doi":"https://doi.org/10.1109/iccv51701.2025.02416","title":"SeHDR: Single-Exposure HDR Novel View Synthesis Via 3D Gaussian Bracketing","display_name":"SeHDR: Single-Exposure HDR Novel View Synthesis Via 3D Gaussian Bracketing","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414787371","doi":"https://doi.org/10.1109/iccv51701.2025.02416"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.20400","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101726425","display_name":"Yiyu Li","orcid":"https://orcid.org/0000-0001-8129-1177"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiyu Li","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103108744","display_name":"Haoyuan Wang","orcid":"https://orcid.org/0009-0001-8530-3435"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoyuan Wang","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025567094","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-5855-3810"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088746380","display_name":"Gerhard P. Hancke","orcid":"https://orcid.org/0000-0002-4026-687X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Gerhard Petrus Hancke","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006197413","display_name":"Rynson W. H. Lau","orcid":"https://orcid.org/0000-0002-8957-8129"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rynson W.H. Lau","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24091149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26045","last_page":"26054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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":0.9724000096321106,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5008000135421753},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48980000615119934},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.45809999108314514},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.44909998774528503},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43790000677108765},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.42160001397132874},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.36980000138282776},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3684999942779541}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71670001745224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021999955177307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6406000256538391},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5008000135421753},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48980000615119934},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.45809999108314514},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.44909998774528503},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43790000677108765},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.36980000138282776},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3684999942779541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C102944935","wikidata":"https://www.wikidata.org/wiki/Q4953701","display_name":"Bracketing (phenomenology)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.29429998993873596},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.25040000677108765},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.25029999017715454}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.20400","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.20400","pdf_url":"https://arxiv.org/pdf/2509.20400","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.20400","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.20400","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.20400","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.20400","pdf_url":"https://arxiv.org/pdf/2509.20400","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"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":{"This":[0],"paper":[1],"presents":[2],"SeHDR,":[3],"a":[4,71,132],"novel":[5,17,174],"high":[6],"dynamic":[7],"range":[8],"3D":[9,87,107,119,140,168],"Gaussian":[10],"Splatting":[11],"(HDR-3DGS)":[12],"approach":[13,60],"for":[14,173],"generating":[15],"HDR":[16,63,111,171],"views":[18],"given":[19],"multi-view":[20,30,67,95],"LDR":[21,31,68,96,123],"images.":[22],"Unlike":[23],"existing":[24,183],"methods":[25,184],"that":[26,82,180],"typically":[27],"require":[28],"the":[29,62,126,156,164],"input":[32],"images":[33,69],"to":[34,43,48,77,103,162],"be":[35,101],"captured":[36],"from":[37,50,66,93,121],"different":[38,91],"exposures,":[39],"which":[40],"are":[41],"tedious":[42],"capture":[44],"and":[45,56,166],"more":[46],"likely":[47],"suffer":[49],"errors":[51],"(e.g.,":[52],"object":[53],"motion":[54],"blurs":[55],"calibration/alignment":[57],"inaccuracies),":[58],"our":[59],"learns":[61,117],"scene":[64,112],"representation":[65],"of":[70],"single":[72],"exposure.":[73],"Our":[74],"key":[75],"insight":[76],"this":[78],"ill-posed":[79],"problem":[80],"is":[81],"by":[83],"first":[84,116],"estimating":[85],"Bracketed":[86],"Gaussians":[88,108,120,141,169,172],"(i.e.,":[89],"with":[90,142],"exposures)":[92],"single-exposure":[94,122],"images,":[97],"we":[98,154],"may":[99],"then":[100,137],"able":[102],"merge":[104],"these":[105],"bracketed":[106],"into":[109,170],"an":[110],"representation.":[113],"Specifically,":[114],"SeHDR":[115,181],"base":[118,165],"inputs,":[124],"where":[125],"spherical":[127],"harmonics":[128],"parameterize":[129],"colors":[130,148],"in":[131],"linear":[133,147],"color":[134],"space.":[135],"We":[136],"estimate":[138],"multiple":[139],"identical":[143],"geometry":[144],"but":[145],"varying":[146],"conditioned":[149],"on":[150],"exposure":[151],"manipulations.":[152],"Finally,":[153],"propose":[155],"Differentiable":[157],"Neural":[158],"Exposure":[159],"Fusion":[160],"(NeEF)":[161],"integrate":[163],"estimated":[167],"view":[175],"rendering.":[176],"Extensive":[177],"experiments":[178],"demonstrate":[179],"outperforms":[182],"as":[185,187],"well":[186],"carefully":[188],"designed":[189],"baselines.":[190]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}