{"id":"https://openalex.org/W4403590145","doi":"https://doi.org/10.1145/3664647.3681059","title":"SpecGaussian with Latent Features: A High-quality Modeling of the View-dependent Appearance for 3D Gaussian Splatting","display_name":"SpecGaussian with Latent Features: A High-quality Modeling of the View-dependent Appearance for 3D Gaussian Splatting","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403590145","doi":"https://doi.org/10.1145/3664647.3681059"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.05868","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhiru Wang","orcid":"https://orcid.org/0009-0004-3794-2699"},"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":"Zhiru Wang","raw_affiliation_strings":["Sino-French Engineer School, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-3794-2699","affiliations":[{"raw_affiliation_string":"Sino-French Engineer School, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102682225","display_name":"Shiyun Xie","orcid":"https://orcid.org/0000-0001-5921-4060"},"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":"Shiyun Xie","raw_affiliation_strings":["School of Artificial Intellegence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5921-4060","affiliations":[{"raw_affiliation_string":"School of Artificial Intellegence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030668126","display_name":"Chengwei Pan","orcid":"https://orcid.org/0000-0003-0497-7903"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengwei Pan","raw_affiliation_strings":["School of Artificial Intellegence, Beihang Uinveristy & Zhongguancun Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0497-7903","affiliations":[{"raw_affiliation_string":"School of Artificial Intellegence, Beihang Uinveristy & Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115588322","display_name":"Guoping Wang","orcid":"https://orcid.org/0000-0001-7819-0076"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Wang","raw_affiliation_strings":["School of Computer Science, Peking University & ShuangHu Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7819-0076","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University & ShuangHu Laboratory, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6270","last_page":"6278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.8505314588546753},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7113300561904907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.705502986907959},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6404309868812561},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5320481061935425},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46985924243927},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4668216109275818},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33364760875701904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8505314588546753},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7113300561904907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.705502986907959},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6404309868812561},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5320481061935425},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46985924243927},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4668216109275818},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33364760875701904},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3681059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2409.05868","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.05868","pdf_url":"https://arxiv.org/pdf/2409.05868","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.05868","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.05868","pdf_url":"https://arxiv.org/pdf/2409.05868","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2104587129","https://openalex.org/W2136856246","https://openalex.org/W2738551266","https://openalex.org/W2901982540","https://openalex.org/W2951159596","https://openalex.org/W2962785568","https://openalex.org/W3092203888","https://openalex.org/W3125432124","https://openalex.org/W3136656704","https://openalex.org/W3176327543","https://openalex.org/W3184952021","https://openalex.org/W3195620846","https://openalex.org/W3203570626","https://openalex.org/W3215769467","https://openalex.org/W3215927878","https://openalex.org/W4200150166","https://openalex.org/W4200420145","https://openalex.org/W4286759403","https://openalex.org/W4307479167","https://openalex.org/W4312325284","https://openalex.org/W4312568777","https://openalex.org/W4312679369","https://openalex.org/W4312839164","https://openalex.org/W4312950208","https://openalex.org/W4378770568","https://openalex.org/W4382468453","https://openalex.org/W4385261085","https://openalex.org/W4385318467","https://openalex.org/W4386066812","https://openalex.org/W4390872696","https://openalex.org/W6781421651","https://openalex.org/W6846158471"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W3137044537","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W2172753644","https://openalex.org/W2170209930","https://openalex.org/W4246858109","https://openalex.org/W54172855"],"abstract_inverted_index":{"Recently,":[0],"the":[1,54,107,123,134,153],"3D":[2,83,92],"Gaussian":[3],"Splatting":[4],"(3D-GS)":[5],"method":[6,25,143],"has":[7,58],"achieved":[8],"great":[9],"success":[10],"in":[11,28,38,133,147],"novel":[12,148],"view":[13,149],"synthesis,":[14],"providing":[15],"real-time":[16],"rendering":[17,21],"while":[18],"ensuring":[19],"high-quality":[20],"results.":[22],"However,":[23],"this":[24],"faces":[26],"challenges":[27],"modeling":[29],"specular":[30,115,162],"reflections":[31],"and":[32,97,114,151],"handling":[33],"anisotropic":[34],"appearance":[35,96],"components,":[36],"especially":[37],"dealing":[39],"with":[40,161],"view-dependent":[41],"color":[42,55,113,116],"under":[43],"complex":[44,63],"lighting":[45],"conditions.":[46],"Additionally,":[47],"3D-GS":[48,156],"uses":[49],"spherical":[50],"harmonic":[51],"to":[52,61,105,127,157],"learn":[53],"representation,":[56],"which":[57],"limited":[59],"ability":[60,154],"represent":[62],"scenes.":[64],"To":[65],"overcome":[66],"these":[67,129],"challenges,":[68],"we":[69],"introduce":[70],"Lantent-SpecGS,":[71],"an":[72],"approach":[73],"that":[74,120,141],"utilizes":[75],"a":[76,87],"universal":[77],"latent":[78],"neural":[79],"descriptor":[80],"within":[81],"each":[82],"Gaussian.":[84],"This":[85],"enables":[86],"more":[88],"effective":[89],"representation":[90],"of":[91,155],"feature":[93,109],"fields,":[94],"including":[95],"geometry.":[98],"Moreover,":[99],"two":[100,130],"parallel":[101],"CNNs":[102],"are":[103],"designed":[104],"decoder":[106],"splatting":[108],"maps":[110],"into":[111],"diffuse":[112],"separately.":[117],"A":[118],"mask":[119],"depends":[121],"on":[122],"viewpoint":[124],"is":[125],"learned":[126],"merge":[128],"colors,":[131],"resulting":[132],"final":[135],"rendered":[136],"image.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"our":[142],"obtains":[144],"competitive":[145],"performance":[146],"synthesis":[150],"extends":[152],"handle":[158],"intricate":[159],"scenarios":[160],"reflections.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}