{"id":"https://openalex.org/W4396786944","doi":"https://doi.org/10.1145/3641519.3657402","title":"Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids","display_name":"Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4396786944","doi":"https://doi.org/10.1145/3641519.3657402"},"language":"en","primary_location":{"id":"doi:10.1145/3641519.3657402","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641519.3657402","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641519.3657402","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3641519.3657402","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001186315","display_name":"Junchen Liu","orcid":"https://orcid.org/0009-0003-4692-7776"},"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":"Junchen Liu","raw_affiliation_strings":["Beihang University, China"],"raw_orcid":"https://orcid.org/0009-0003-4692-7776","affiliations":[{"raw_affiliation_string":"Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001992062","display_name":"Wenbo Hu","orcid":"https://orcid.org/0000-0001-6082-4966"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Hu","raw_affiliation_strings":["Tencent AI Lab, China"],"raw_orcid":"https://orcid.org/0000-0001-6082-4966","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhuo Yang","orcid":"https://orcid.org/0009-0001-5572-1679"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Yang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-5572-1679","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103181004","display_name":"Jianteng Chen","orcid":"https://orcid.org/0009-0002-5442-088X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianteng Chen","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-5442-088X","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002863314","display_name":"G.-H. Wang","orcid":"https://orcid.org/0009-0009-2855-8990"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Wang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0009-0009-2855-8990","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659095","display_name":"Xiaoxue Chen","orcid":"https://orcid.org/0000-0001-6587-6060"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxue Chen","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-6587-6060","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006847117","display_name":"Yantong Cai","orcid":"https://orcid.org/0000-0003-2137-4979"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yantong Cai","raw_affiliation_strings":["Dermatology Hospital, China and Southern Medical University, China"],"raw_orcid":"https://orcid.org/0000-0003-2137-4979","affiliations":[{"raw_affiliation_string":"Dermatology Hospital, China and Southern Medical University, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041236976","display_name":"Huan-ang Gao","orcid":"https://orcid.org/0009-0004-6727-5778"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan-ang Gao","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0009-0004-6727-5778","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025049450","display_name":"Hao Zhao","orcid":"https://orcid.org/0000-0001-7903-581X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhao","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-7903-581X","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.146,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97936635,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7524091601371765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6035460233688354},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5903235077857971},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5415497422218323},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.48125216364860535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.474693238735199},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42864394187927246},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.39713603258132935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32887643575668335},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.30055809020996094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2510251998901367}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7524091601371765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035460233688354},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5903235077857971},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5415497422218323},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.48125216364860535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.474693238735199},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42864394187927246},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39713603258132935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32887643575668335},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.30055809020996094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2510251998901367}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3641519.3657402","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641519.3657402","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641519.3657402","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2405.02386","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.02386","pdf_url":"https://arxiv.org/pdf/2405.02386","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3641519.3657402","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641519.3657402","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641519.3657402","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396786944.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2046346382","https://openalex.org/W2133665775","https://openalex.org/W2140693291","https://openalex.org/W2962785568","https://openalex.org/W2964288609","https://openalex.org/W3021680854","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3177583232","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4221151978","https://openalex.org/W4281489584","https://openalex.org/W4281690735","https://openalex.org/W4283034080","https://openalex.org/W4285981733","https://openalex.org/W4285981758","https://openalex.org/W4288242633","https://openalex.org/W4310380504","https://openalex.org/W4311033863","https://openalex.org/W4311034191","https://openalex.org/W4312453532","https://openalex.org/W4376643680","https://openalex.org/W4378450585","https://openalex.org/W4383109009","https://openalex.org/W4385261185","https://openalex.org/W4385287058","https://openalex.org/W4385289063","https://openalex.org/W4385318467","https://openalex.org/W4385374449","https://openalex.org/W4385526959","https://openalex.org/W4385532415","https://openalex.org/W4386076691","https://openalex.org/W4388585575","https://openalex.org/W4389334865","https://openalex.org/W4389334905","https://openalex.org/W4389335083","https://openalex.org/W4389347771","https://openalex.org/W4389539682","https://openalex.org/W4389708663","https://openalex.org/W4390872696","https://openalex.org/W6600018615","https://openalex.org/W6600279152"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W4246858109","https://openalex.org/W2172753644","https://openalex.org/W54172855","https://openalex.org/W2170209930","https://openalex.org/W2046782623"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"advancements":[2],"in":[3,162,179],"Neural":[4],"Radiance":[5],"Fields":[6],"(NeRFs),":[7],"the":[8,33,75,79,89,105,111,127,136,163],"renderings":[9],"may":[10],"still":[11],"suffer":[12],"from":[13],"aliasing":[14],"and":[15,26,46,67,133,146,169,185],"blurring":[16],"artifacts,":[17],"since":[18],"it":[19],"remains":[20],"a":[21,39,83,120,147],"fundamental":[22],"challenge":[23],"to":[24,44,57,124],"effectively":[25],"efficiently":[27,47,134],"characterize":[28],"anisotropic":[29,50,90,129,137],"areas":[30,92,130],"induced":[31],"by":[32,110,117,135],"cone-casting":[34],"procedure.":[35],"This":[36],"paper":[37,189],"introduces":[38],"Ripmap-Encoded":[40],"Platonic":[41,64,71,85,106],"Solid":[42,65,72],"representation":[43],"precisely":[45,132],"featurize":[48],"3D":[49,76,91],"areas,":[51],"achieving":[52],"high-fidelity":[53],"anti-aliased":[54],"renderings.":[55],"Central":[56],"our":[58,154],"approach":[59],"are":[60,190],"two":[61],"key":[62],"components:":[63],"Projection":[66,73],"Ripmap":[68,112],"encoding.":[69],"The":[70,182],"factorizes":[74],"space":[77],"onto":[78,96],"unparalleled":[80],"faces":[81],"of":[82,104,166],"certain":[84],"solid,":[86],"such":[87],"that":[88,153],"can":[93],"be":[94],"projected":[95,128],"planes":[97],"with":[98],"distinguishable":[99],"characterization.":[100],"Meanwhile,":[101],"each":[102],"face":[103],"solid":[107],"is":[108,115],"encoded":[109],"encoding,":[113],"which":[114],"constructed":[116],"anisotropically":[118],"pre-filtering":[119],"learnable":[121],"feature":[122],"grid,":[123],"enable":[125],"featurzing":[126],"both":[131,142],"area-sampling.":[138],"Extensive":[139],"experiments":[140],"on":[141],"well-established":[143],"synthetic":[144],"datasets":[145],"newly":[148],"captured":[149],"real-world":[150],"dataset":[151],"demonstrate":[152],"Rip-NeRF":[155],"attains":[156],"state-of-the-art":[157],"rendering":[158],"quality,":[159],"particularly":[160],"excelling":[161],"fine":[164],"details":[165],"repetitive":[167],"structures":[168],"textures,":[170],"while":[171],"maintaining":[172],"relatively":[173],"swift":[174],"training":[175],"times,":[176],"as":[177],"shown":[178],"Fig.":[180],"1.":[181],"source":[183],"code":[184],"data":[186],"for":[187],"this":[188],"at":[191],"https://github.com/JunchenLiu77/Rip-NeRF.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}