{"id":"https://openalex.org/W4413147602","doi":"https://doi.org/10.1109/cvpr52734.2025.01513","title":"DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation","display_name":"DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413147602","doi":"https://doi.org/10.1109/cvpr52734.2025.01513"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.01513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5037835763","display_name":"Xiaoliang Ju","orcid":"https://orcid.org/0000-0003-3875-6244"},"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":"Xiaoliang Ju","raw_affiliation_strings":["CUHK MMLab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUHK MMLab","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100732450","display_name":"Hongsheng Li","orcid":"https://orcid.org/0000-0002-2664-7975"},"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":"Hongsheng Li","raw_affiliation_strings":["CUHK MMLab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUHK MMLab","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16229","last_page":"16239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.8744999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.8744999766349792,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.873199999332428,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.8629000186920166,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7271427512168884},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5894431471824646},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48951971530914307},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4894231855869293},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4516614079475403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39346081018447876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12392458319664001},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08058282732963562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271427512168884},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5894431471824646},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48951971530914307},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4894231855869293},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4516614079475403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39346081018447876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12392458319664001},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08058282732963562},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.01513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W2938786841","https://openalex.org/W4324271173","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W1967645776"],"abstract_inverted_index":{"We":[0],"present":[1],"DirectTriGS,":[2],"a":[3,106,138],"novel":[4],"framework":[5,161],"designed":[6],"for":[7,17],"3D":[8,18,34,152,165],"object":[9,166],"generation":[10,160],"with":[11,58,108],"Gaussian":[12,76,98],"Splatting":[13,77],"(GS).":[14],"GS-based":[15],"rendering":[16,102,121,169],"content":[19],"has":[20,27],"gained":[21],"considerable":[22],"attention":[23],"recently.":[24],"However,":[25],"there":[26],"been":[28],"limited":[29],"exploration":[30],"in":[31,46,147,171],"directly":[32],"generating":[33],"Gaussians":[35],"compared":[36],"to":[37,74,97,150],"traditional":[38],"generative":[39],"modeling":[40],"approaches.":[41],"The":[42,112,154],"main":[43],"challenge":[44],"lies":[45],"the":[47,68,88,120,131,158,172],"complex":[48],"data":[49],"structure":[50],"of":[51],"GS":[52],"represented":[53],"by":[54,105],"discrete":[55],"point":[56,99],"clouds":[57,100],"multiple":[59],"channels.":[60],"To":[61],"overcome":[62],"this":[63],"challenge,":[64],"we":[65],"propose":[66],"employing":[67],"triplane":[69,132],"representation,":[70],"which":[71,142],"allows":[72],"us":[73],"represent":[75],"as":[78],"an":[79],"image-like":[80],"continuous":[81],"field.":[82],"This":[83],"representation":[84,133],"effectively":[85],"encodes":[86],"both":[87,125],"geometry":[89,128,167],"and":[90,101,127,168],"texture":[91,126],"information,":[92],"enabling":[93],"smooth":[94],"transformation":[95],"back":[96],"into":[103],"images":[104],"TriRenderer,":[107],"only":[109],"2D":[110],"supervisions.":[111],"proposed":[113,159],"TriRenderer":[114],"is":[115],"fully":[116],"differentiable,":[117],"so":[118],"that":[119,157],"loss":[122],"can":[123,134,143,162],"supervise":[124],"encoding.":[129],"Furthermore,":[130],"be":[135,145],"compressed":[136],"using":[137],"Variational":[139],"Autoencoder":[140],"(VAE),":[141],"subsequently":[144],"utilized":[146],"latent":[148],"diffusion":[149],"generate":[151],"objects.":[153],"experiments":[155],"demonstrate":[156],"produce":[163],"high-quality":[164],"results":[170],"text-to-3D":[173],"task.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
