{"id":"https://openalex.org/W7131242111","doi":"https://doi.org/10.1109/vcip67698.2025.11396821","title":"PrismGS: Physically-Grounded Anti-Aliasing for High-Fidelity Large-Scale 3D Gaussian Splatting","display_name":"PrismGS: Physically-Grounded Anti-Aliasing for High-Fidelity Large-Scale 3D Gaussian Splatting","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131242111","doi":"https://doi.org/10.1109/vcip67698.2025.11396821"},"language":null,"primary_location":{"id":"doi:10.1109/vcip67698.2025.11396821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"article","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/A5113405517","display_name":"Houqiang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Zhong","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Information Science and Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Information Science and Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102983017","display_name":"Zhenglong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802974365","display_name":"Shanghai Innovative Research Center of Traditional Chinese Medicine","ror":"https://ror.org/01gnagj68","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802974365"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenglong Wu","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I2802974365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027580603","display_name":"Sihua Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802974365","display_name":"Shanghai Innovative Research Center of Traditional Chinese Medicine","ror":"https://ror.org/01gnagj68","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802974365"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihua Fu","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I2802974365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029721404","display_name":"Zihan Zheng","orcid":"https://orcid.org/0009-0007-4480-5539"},"institutions":[{"id":"https://openalex.org/I2802974365","display_name":"Shanghai Innovative Research Center of Traditional Chinese Medicine","ror":"https://ror.org/01gnagj68","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802974365"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Zheng","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I2802974365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126729636","display_name":"Xin JIN","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["Eastern Institute of Technology,College of Information Science and Technology,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eastern Institute of Technology,College of Information Science and Technology,Ningbo,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031220054","display_name":"X. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802974365","display_name":"Shanghai Innovative Research Center of Traditional Chinese Medicine","ror":"https://ror.org/01gnagj68","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802974365"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I2802974365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558452","display_name":"Liwei Song","orcid":"https://orcid.org/0000-0002-7124-5182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Information Science and Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Information Science and Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126726535","display_name":"Qiang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802974365","display_name":"Shanghai Innovative Research Center of Traditional Chinese Medicine","ror":"https://ror.org/01gnagj68","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802974365"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Hu","raw_affiliation_strings":["Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Cooperative Mediant Innovation Center,Shanghai,China","institution_ids":["https://openalex.org/I2802974365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"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":0.65762324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.15530000627040863,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15530000627040863,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.05420000106096268,"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/T11527","display_name":"3D IC and TSV technologies","score":0.031099999323487282,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/rendering","display_name":"Rendering (computer graphics)","score":0.6191999912261963},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5357999801635742},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4320000112056732},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.43070000410079956},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.37369999289512634},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.3549000024795532},{"id":"https://openalex.org/keywords/3d-rendering","display_name":"3D rendering","score":0.3441999852657318},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.31929999589920044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520999908447266},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6191999912261963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5766000151634216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54339998960495},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5357999801635742},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4320000112056732},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42879998683929443},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.3549000024795532},{"id":"https://openalex.org/C36816356","wikidata":"https://www.wikidata.org/wiki/Q16911860","display_name":"3D rendering","level":3,"score":0.3441999852657318},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.31869998574256897},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.2994999885559082},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2007125764","https://openalex.org/W2471962767","https://openalex.org/W4200150166","https://openalex.org/W4312280420","https://openalex.org/W4312713450","https://openalex.org/W4312842946","https://openalex.org/W4313017495","https://openalex.org/W4313031684","https://openalex.org/W4385318467","https://openalex.org/W4390871896","https://openalex.org/W4393248012","https://openalex.org/W4400667199","https://openalex.org/W4402630434","https://openalex.org/W4402716405","https://openalex.org/W4402727541","https://openalex.org/W4402754019","https://openalex.org/W4402916314","https://openalex.org/W4403842151","https://openalex.org/W4404525393","https://openalex.org/W4404612638","https://openalex.org/W4407781912","https://openalex.org/W4409325948","https://openalex.org/W4409368322","https://openalex.org/W4410204460","https://openalex.org/W4410719325","https://openalex.org/W4412673605","https://openalex.org/W4413147744","https://openalex.org/W4413156504","https://openalex.org/W4415798101"],"related_works":[],"abstract_inverted_index":{"3D":[0,85,150],"Gaussian":[1,46],"Splatting":[2],"(3DGS)":[3],"has":[4],"recently":[5],"enabled":[6],"real-time":[7],"photorealistic":[8],"rendering":[9,82,104],"in":[10],"compact":[11],"scenes,":[12],"but":[13],"scaling":[14],"to":[15,63,114,161],"large":[16],"urban":[17,53],"environments":[18],"introduces":[19],"severe":[20],"aliasing":[21],"artifacts":[22],"and":[23,38,48,164,168,176,186,208],"optimization":[24],"instability,":[25],"especially":[26],"under":[27,210],"high-resolution":[28],"(e.g.,":[29],"4K)":[30],"rendering.":[31,213],"These":[32],"artifacts,":[33],"manifesting":[34],"as":[35],"flickering":[36,129],"textures":[37],"jagged":[39,170],"edges,":[40],"arise":[41],"from":[42],"the":[43,49,80,103,112,146,149,154],"mismatch":[44],"between":[45],"primitives":[47],"multi-scale":[50,96],"nature":[51],"of":[52,84,148,156],"geometry.":[54],"While":[55],"existing":[56,179],"\"divide-and-conquer\"":[57],"pipelines":[58],"address":[59],"scalability,":[60],"they":[61],"fail":[62],"resolve":[64],"this":[65,69],"fidelity":[66],"gap.":[67],"In":[68],"paper,":[70],"we":[71],"propose":[72],"PrismGS,":[73],"a":[74,106,141],"physically-grounded":[75,142],"regularization":[76,138],"framework":[77],"that":[78,120,139,189],"improves":[79],"intrinsic":[81],"behavior":[83],"Gaussians.":[86,151],"PrismGS":[87,190],"integrates":[88],"two":[89],"synergistic":[90],"regularizers.":[91],"The":[92],"first":[93],"is":[94,132,174],"pyramidal":[95],"supervision,":[97],"which":[98],"enforces":[99],"consistency":[100],"by":[101,134],"supervising":[102],"against":[105,201],"pre-filtered":[107],"image":[108],"pyramid.":[109],"This":[110,131,152],"compels":[111],"model":[113],"learn":[115],"an":[116,135],"inherently":[117],"anti-aliased":[118],"representation":[119],"remains":[121],"coherent":[122],"across":[123],"different":[124],"viewing":[125],"scales,":[126],"directly":[127],"mitigating":[128],"textures.":[130],"complemented":[133],"explicit":[136],"size":[137],"imposes":[140],"lower":[143],"bound":[144],"on":[145,183],"dimensions":[147],"prevents":[153],"formation":[155],"degenerate,":[157],"view-dependent":[158],"primitives,":[159],"leading":[160],"more":[162],"stable":[163],"plausible":[165],"geometric":[166],"surfaces":[167],"reducing":[169],"edges.":[171],"Our":[172],"method":[173],"plug-and-play":[175],"compatible":[177],"with":[178],"pipelines.":[180],"Extensive":[181],"experiments":[182],"MatrixCity,":[184],"Mill-19,":[185],"UrbanScene3D":[187],"demonstrate":[188],"achieves":[191],"state-of-the-art":[192],"performance,":[193],"yielding":[194],"significant":[195],"PSNR":[196],"gains":[197],"around":[198],"1.5":[199],"dB":[200],"CityGaussian,":[202],"while":[203],"maintaining":[204],"its":[205],"superior":[206],"quality":[207],"robustness":[209],"demanding":[211],"4K":[212]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-25T00:00:00"}
