{"id":"https://openalex.org/W4408151354","doi":"https://doi.org/10.1145/3658617.3697781","title":"GSNorm: An Efficient 3D Gaussian Rendering Accelerator with Splat Normalization and LUT-assist Rasterization","display_name":"GSNorm: An Efficient 3D Gaussian Rendering Accelerator with Splat Normalization and LUT-assist Rasterization","publication_year":2025,"publication_date":"2025-01-20","ids":{"openalex":"https://openalex.org/W4408151354","doi":"https://doi.org/10.1145/3658617.3697781"},"language":"en","primary_location":{"id":"doi:10.1145/3658617.3697781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658617.3697781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Asia and South Pacific Design Automation Conference","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/A5107789976","display_name":"Yiyang Sun","orcid":"https://orcid.org/0009-0003-6353-4624"},"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":true,"raw_author_name":"Yiyang Sun","raw_affiliation_strings":["Peking Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110267455","display_name":"Peiran Yan","orcid":null},"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":"Peiran Yan","raw_affiliation_strings":["Peking Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114069394","display_name":"Yiqi Jing","orcid":"https://orcid.org/0009-0004-7690-5356"},"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":"Yiqi Jing","raw_affiliation_strings":["Peking Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003039083","display_name":"Le Ye","orcid":"https://orcid.org/0000-0003-0599-7762"},"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":"Le Ye","raw_affiliation_strings":["Peking Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088551028","display_name":"Tianyu Jia","orcid":"https://orcid.org/0000-0002-4570-4613"},"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":"Tianyu Jia","raw_affiliation_strings":["Peking Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking Univ., Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5107789976"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.831,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8910267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1379","last_page":"1385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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/lookup-table","display_name":"Lookup table","score":0.8165415525436401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7631603479385376},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6820139288902283},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.64653080701828},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4614078104496002},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.452379047870636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06643170118331909},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.060479164123535156}],"concepts":[{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.8165415525436401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631603479385376},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6820139288902283},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.64653080701828},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4614078104496002},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.452379047870636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06643170118331909},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.060479164123535156},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658617.3697781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3658617.3697781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2901982540","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4200268060","https://openalex.org/W4221151978","https://openalex.org/W4289551059","https://openalex.org/W4380875689","https://openalex.org/W4384161917","https://openalex.org/W4385318467","https://openalex.org/W4386231251","https://openalex.org/W4389156643","https://openalex.org/W4389713819","https://openalex.org/W4390721615","https://openalex.org/W4392746077","https://openalex.org/W4392746283","https://openalex.org/W4395106423","https://openalex.org/W4402726969","https://openalex.org/W6681226370","https://openalex.org/W6697208096","https://openalex.org/W6859096258","https://openalex.org/W6859189387"],"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":{"3D":[0],"Gaussian":[1,16,45,75,104],"Splatting":[2,17],"recently":[3],"emerged":[4],"as":[5,47],"the":[6,38,43,48,91],"new":[7],"SOTA":[8],"approach":[9],"for":[10,69,77,129],"many":[11],"computer":[12],"graphic":[13],"tasks.":[14],"While":[15],"has":[18],"demonstrated":[19],"impressive":[20],"rendering":[21,29,62,84,124],"quality":[22],"and":[23,42,111,126],"performance":[24,127],"on":[25,30],"GPUs,":[26],"real-time":[27,130],"GS":[28],"edge":[31],"devices":[32],"is":[33,86,100,109],"still":[34],"challenging.":[35],"We":[36],"identified":[37],"unbalanced":[39],"Rendering":[40],"pipeline":[41,92],"uneven":[44],"distribution":[46],"main":[49],"obstacles":[50],"to":[51,73,89,102],"efficient":[52],"rendering.":[53],"To":[54],"address":[55],"these":[56],"problems,":[57],"we":[58],"present":[59],"GSNorm,":[60],"a":[61,96],"accelerator":[63,108],"with":[64,118],"an":[65],"online":[66],"quantization":[67],"preprocessor":[68],"per-gaussian":[70],"coordinate":[71],"transformation":[72],"normalize":[74],"footprints":[76],"pixel-wise":[78],"calculation":[79],"reduction.":[80],"A":[81],"LUT-based":[82],"quantized":[83],"design":[85],"also":[87],"presented":[88],"break":[90],"data":[93],"dependency.":[94],"Furthermore,":[95],"depth-guided":[97],"cluster-sorting":[98],"unit":[99],"incorporated":[101],"improve":[103],"sorting":[105],"efficiency.":[106],"GSNorm":[107],"implemented":[110],"evaluated":[112],"in":[113],"TSMC":[114],"22":[115],"nm":[116],"technology":[117],"several":[119],"real-world":[120],"scenes,":[121],"providing":[122],"significant":[123],"efficiency":[125],"improvements":[128],"applications.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}