{"id":"https://openalex.org/W7160231122","doi":"https://doi.org/10.1109/wacv61042.2026.00801","title":"SceneShine: Illumination-aware Human Scene Gaussian Re-Splatting from Mobile Device Video","display_name":"SceneShine: Illumination-aware Human Scene Gaussian Re-Splatting from Mobile Device Video","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160231122","doi":"https://doi.org/10.1109/wacv61042.2026.00801"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00801","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/A5070006320","display_name":"Xuqian Ren","orcid":"https://orcid.org/0000-0002-3811-0235"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Xuqian Ren","raw_affiliation_strings":["Tampere University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135390033","display_name":"Wenjia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenjia Wang","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135313920","display_name":"Mai Ngoc Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mai Ngoc Nguyen","raw_affiliation_strings":["Tampere University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135311074","display_name":"Juho Kannala","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juho Kannala","raw_affiliation_strings":["Aalto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088180438","display_name":"Esa Rahtu","orcid":"https://orcid.org/0000-0001-8767-0864"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esa Rahtu","raw_affiliation_strings":["Tampere University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.50412931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8302","last_page":"8312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2257000058889389,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2257000058889389,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.12950000166893005,"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/T11019","display_name":"Image Enhancement Techniques","score":0.12330000102519989,"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/mobile-device","display_name":"Mobile device","score":0.5788000226020813},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3278000056743622},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3107999861240387},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.2847999930381775},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.2572999894618988}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6851000189781189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686000227928162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118000149726868},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5788000226020813},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00801","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2040692352","https://openalex.org/W2130760872","https://openalex.org/W2997209107","https://openalex.org/W3108452788","https://openalex.org/W3114438877","https://openalex.org/W3175488633","https://openalex.org/W3194539144","https://openalex.org/W3195620846","https://openalex.org/W3203344405","https://openalex.org/W4200150166","https://openalex.org/W4245444741","https://openalex.org/W4308080211","https://openalex.org/W4312259933","https://openalex.org/W4312341890","https://openalex.org/W4312828520","https://openalex.org/W4312891300","https://openalex.org/W4312948309","https://openalex.org/W4313175219","https://openalex.org/W4385318467","https://openalex.org/W4386076064","https://openalex.org/W4390872060","https://openalex.org/W4390873306","https://openalex.org/W4390874306","https://openalex.org/W4390874575","https://openalex.org/W4393149235","https://openalex.org/W4394597730","https://openalex.org/W4402703084","https://openalex.org/W4402704577","https://openalex.org/W4402713112","https://openalex.org/W4402716022","https://openalex.org/W4402727211","https://openalex.org/W4402727213","https://openalex.org/W4402727576","https://openalex.org/W4402727580","https://openalex.org/W4402727655","https://openalex.org/W4402733567","https://openalex.org/W4402733569","https://openalex.org/W4402733571","https://openalex.org/W4402753643","https://openalex.org/W4402753955","https://openalex.org/W4402769448","https://openalex.org/W4402775731","https://openalex.org/W4402777641","https://openalex.org/W4402904087","https://openalex.org/W4402951553","https://openalex.org/W4403069195","https://openalex.org/W4404297601","https://openalex.org/W4404525293","https://openalex.org/W4404525447","https://openalex.org/W4404536559","https://openalex.org/W4404654733","https://openalex.org/W4404893028","https://openalex.org/W4405128522","https://openalex.org/W4409264028","https://openalex.org/W4410492286","https://openalex.org/W4411371988","https://openalex.org/W4413138610","https://openalex.org/W4413556662","https://openalex.org/W4415796544","https://openalex.org/W4415797101","https://openalex.org/W7133222035"],"related_works":[],"abstract_inverted_index":{"Standard":[0],"3DGS":[1],"falls":[2],"short":[3],"in":[4,40,115],"precise":[5],"relighting":[6,33,76],"and":[7,34,54,88,118],"shadowing":[8],"needed":[9],"to":[10,69,84],"realistically":[11],"integrate":[12],"humans":[13],"into":[14],"novel":[15],"environments.":[16],"We":[17,58,97],"bridge":[18],"this":[19,60],"gap":[20],"with":[21],"SceneShine,":[22],"an":[23],"illumination-aware":[24,125],"framework":[25],"designed":[26],"for":[27,93,104],"seamless":[28],"composition":[29],"through":[30],"physically-based":[31],"avatar":[32],"shadow":[35,95],"casting.":[36,96],"Relighting":[37],"human":[38],"surfaces":[39],"in-the-wild":[41],"videos":[42],"is":[43],"inherently":[44],"ill-posed,":[45],"often":[46],"making":[47],"the":[48],"simultaneous":[49],"disentanglement":[50],"of":[51],"scene":[52,91],"lighting":[53],"BRDF":[55,71],"properties":[56],"difficult.":[57],"overcome":[59],"ambiguity":[61],"by":[62],"utilizing":[63],"a":[64,100],"pseudo-global":[65],"light":[66],"map":[67],"prior":[68],"guide":[70],"parameter":[72],"decomposition,":[73],"significantly":[74],"reducing":[75],"artifacts.":[77],"Additionally,":[78],"we":[79],"implement":[80],"point-based":[81],"ray":[82],"tracing":[83],"manage":[85],"human-scene":[86],"occlusions":[87],"dynamically":[89],"update":[90],"colors":[92],"accurate":[94],"also":[98],"introduce":[99],"new":[101],"synthetic":[102],"dataset":[103],"evaluation.":[105],"Extensive":[106],"experiments":[107],"show":[108],"that":[109],"our":[110],"method":[111],"surpasses":[112],"existing":[113],"approaches":[114],"reconstruction":[116],"fidelity":[117],"identity":[119],"preservation":[120],"while":[121],"achieving":[122],"highly":[123],"convincing":[124],"integration1.":[126]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}
