{"id":"https://openalex.org/W4321636911","doi":"https://doi.org/10.1109/rsp57251.2022.10039009","title":"TernaryNeRF: Quantizing Voxel Grid-based NeRF Models","display_name":"TernaryNeRF: Quantizing Voxel Grid-based NeRF Models","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4321636911","doi":"https://doi.org/10.1109/rsp57251.2022.10039009"},"language":"en","primary_location":{"id":"doi:10.1109/rsp57251.2022.10039009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rsp57251.2022.10039009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Rapid System Prototyping (RSP)","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/A5078656569","display_name":"Seungyeop Kang","orcid":"https://orcid.org/0000-0002-4310-9941"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungyeop Kang","raw_affiliation_strings":["Seoul National University,Dept. of Computer Science and Engineering,Seoul Korea","Dept. of Computer Science and Engineering, Seoul National University, Seoul Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Computer Science and Engineering,Seoul Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Seoul National University, Seoul Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063521444","display_name":"Sungjoo Yoo","orcid":"https://orcid.org/0000-0002-5853-0675"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjoo Yoo","raw_affiliation_strings":["Seoul National University,Dept. of Computer Science and Engineering,Seoul Korea","Dept. of Computer Science and Engineering, Seoul National University, Seoul Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Computer Science and Engineering,Seoul Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Seoul National University, Seoul Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.4623,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73926998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.992900013923645,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.992900013923645,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9894999861717224,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728180885314941},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6960012912750244},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5159736275672913},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.5005202293395996},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.47622615098953247},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.47023671865463257},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.44465944170951843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35660266876220703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24443170428276062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12516015768051147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728180885314941},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6960012912750244},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5159736275672913},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.5005202293395996},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.47622615098953247},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.47023671865463257},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.44465944170951843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35660266876220703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24443170428276062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12516015768051147},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/rsp57251.2022.10039009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rsp57251.2022.10039009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Rapid System Prototyping (RSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2748818695","https://openalex.org/W2786771851","https://openalex.org/W2887447938","https://openalex.org/W2898755250","https://openalex.org/W2916954108","https://openalex.org/W2962298324","https://openalex.org/W2962761403","https://openalex.org/W2963122961","https://openalex.org/W2963480671","https://openalex.org/W2964279778","https://openalex.org/W2998183051","https://openalex.org/W3000556572","https://openalex.org/W3092203888","https://openalex.org/W3106655949","https://openalex.org/W3109585842","https://openalex.org/W3127762346","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3177265267","https://openalex.org/W3177382265","https://openalex.org/W3203344405","https://openalex.org/W3204455502","https://openalex.org/W3205611333","https://openalex.org/W3208055976","https://openalex.org/W3215589927","https://openalex.org/W4200313684","https://openalex.org/W4200382072","https://openalex.org/W4214564891","https://openalex.org/W4214661523","https://openalex.org/W4214731463","https://openalex.org/W4221151978","https://openalex.org/W4292119927","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312879788","https://openalex.org/W4313031684","https://openalex.org/W6748224102","https://openalex.org/W6760069825","https://openalex.org/W6772803787","https://openalex.org/W6781421651","https://openalex.org/W6790664976","https://openalex.org/W6802751092","https://openalex.org/W6810814413","https://openalex.org/W6842258392"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2349443037","https://openalex.org/W1994657804","https://openalex.org/W2347721387"],"abstract_inverted_index":{"Photo-realistic":[0],"neural":[1,5],"rendering,":[2],"represented":[3],"by":[4],"radiance":[6],"field":[7],"(NeRF),":[8],"is":[9,36,71],"considered":[10],"to":[11,29,38,85,98,117,153],"be":[12],"a":[13,142],"key":[14],"technology":[15],"for":[16],"AR/VR":[17,155],"applications":[18],"and":[19,41,46,66,159],"has":[20],"been":[21],"actively":[22],"studied":[23],"in":[24],"recent":[25],"years.":[26],"In":[27,49,83,120],"order":[28,84],"enable":[30,39],"widespread":[31],"adoptions":[32,156],"of":[33,56,79,94,106,137,145],"AR/VR,":[34],"it":[35],"critical":[37],"low-cost":[40],"high-quality":[42],"rendering":[43,95,146],"on":[44,59,73,76,157],"mobile":[45,158],"server":[47,160],"systems.":[48,161],"our":[50,74,121,125],"work,":[51],"we":[52,101,123,149],"investigate":[53],"the":[54,60,77,87,92,104,110,154],"feasibility":[55],"low-precision":[57],"representation":[58],"two":[61],"state-of-the-art":[62,138],"NeRF":[63,81,139],"models,":[64],"InstantNeRF":[65],"TensoRF.":[67],"Our":[68],"proposed":[69,126],"quantization":[70,128],"based":[72],"observation":[75],"characteristics":[78],"trained":[80],"models.":[82],"reduce":[86,130],"model":[88,99,107,112,135],"size":[89,113],"while":[90,114],"limiting":[91],"loss":[93,144],"quality":[96],"due":[97],"compression,":[100],"propose":[102],"quantizing":[103],"portion":[105],"which":[108],"dominates":[109],"total":[111],"being":[115],"robust":[116],"aggressive":[118],"quantization.":[119],"experiments,":[122],"demonstrate":[124],"ternary":[127],"can":[129],"by$7":[131],"\\times":[132],"\\sim":[133],"15\\times$the":[134],"sizes":[136],"models":[140],"at":[141],"negligible":[143],"quality,":[147],"which,":[148],"consider,":[150],"will":[151],"contribute":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
