{"id":"https://openalex.org/W4391807655","doi":"https://doi.org/10.1109/tpami.2024.3366148","title":"EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points","display_name":"EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points","publication_year":2024,"publication_date":"2024-02-14","ids":{"openalex":"https://openalex.org/W4391807655","doi":"https://doi.org/10.1109/tpami.2024.3366148","pmid":"https://pubmed.ncbi.nlm.nih.gov/38354072"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3366148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3366148","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5073181772","display_name":"Chengwei Zheng","orcid":"https://orcid.org/0000-0002-3657-0297"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengwei Zheng","raw_affiliation_strings":["Department of Computer Science, ETH Z&#x00FA;rich, Z&#x00FA;rich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-3657-0297","affiliations":[{"raw_affiliation_string":"Department of Computer Science, ETH Z&#x00FA;rich, Z&#x00FA;rich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789593","display_name":"Wenbin Lin","orcid":"https://orcid.org/0000-0001-9175-6003"},"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":"Wenbin Lin","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University, Beijing, China","school of software and BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9175-6003","affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"school of software and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035609529","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0002-0953-1057"},"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":"Feng Xu","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University, Beijing, China","school of software and BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0953-1057","affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"school of software and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":1.6018,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83649735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"46","issue":"8","first_page":"5779","last_page":"5790"},"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":0.9997000098228455,"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":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.8134431838989258},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7935307621955872},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7581232786178589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6521148681640625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6036292910575867},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5182109475135803},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4315928518772125},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.40920811891555786},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.07965230941772461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134431838989258},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7935307621955872},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7581232786178589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6521148681640625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6036292910575867},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5182109475135803},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4315928518772125},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40920811891555786},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07965230941772461},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3366148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3366148","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38354072","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38354072","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G401700272","display_name":null,"funder_award_id":"2018YFA-0704000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5746885067","display_name":null,"funder_award_id":"M22024","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7091651887","display_name":null,"funder_award_id":"62021002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1967554269","https://openalex.org/W2471962767","https://openalex.org/W2768345177","https://openalex.org/W2804619907","https://openalex.org/W2942074357","https://openalex.org/W2962785568","https://openalex.org/W2963627347","https://openalex.org/W2964288609","https://openalex.org/W2968257580","https://openalex.org/W2971278627","https://openalex.org/W3001765858","https://openalex.org/W3036167779","https://openalex.org/W3109585842","https://openalex.org/W3109908659","https://openalex.org/W3114462840","https://openalex.org/W3134996813","https://openalex.org/W3153220274","https://openalex.org/W3169670866","https://openalex.org/W3174726247","https://openalex.org/W3174752334","https://openalex.org/W3180076784","https://openalex.org/W3182714435","https://openalex.org/W3184952021","https://openalex.org/W3185289325","https://openalex.org/W3195620846","https://openalex.org/W3202804820","https://openalex.org/W3203583526","https://openalex.org/W3204326360","https://openalex.org/W3204455502","https://openalex.org/W3211147706","https://openalex.org/W3212066820","https://openalex.org/W3215121054","https://openalex.org/W4200313684","https://openalex.org/W4200382072","https://openalex.org/W4200502498","https://openalex.org/W4214605256","https://openalex.org/W4214731463","https://openalex.org/W4221151978","https://openalex.org/W4226151879","https://openalex.org/W4256700664","https://openalex.org/W4287756134","https://openalex.org/W4288242633","https://openalex.org/W4302011281","https://openalex.org/W4312253380","https://openalex.org/W4312339971","https://openalex.org/W4312566089","https://openalex.org/W4312839164","https://openalex.org/W4312971576","https://openalex.org/W4313165271","https://openalex.org/W4313167908","https://openalex.org/W4328029562","https://openalex.org/W4367000115","https://openalex.org/W4376311815","https://openalex.org/W4383473992","https://openalex.org/W4385318467","https://openalex.org/W4385535562","https://openalex.org/W4386066283","https://openalex.org/W4394663947","https://openalex.org/W4402727040","https://openalex.org/W4402774219","https://openalex.org/W4402816868","https://openalex.org/W6763480078","https://openalex.org/W6779823529","https://openalex.org/W6798683696","https://openalex.org/W6802175311","https://openalex.org/W6803569764","https://openalex.org/W6845830698","https://openalex.org/W6852276098","https://openalex.org/W6853903619","https://openalex.org/W6854034207","https://openalex.org/W6854226172","https://openalex.org/W6856468549","https://openalex.org/W6864154557"],"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/W2024462231","https://openalex.org/W2005276308","https://openalex.org/W1994657804","https://openalex.org/W1970182911","https://openalex.org/W2347721387"],"abstract_inverted_index":{"Neural":[0],"radiance":[1,30],"fields":[2,31],"(NeRF)":[3],"achieve":[4,86],"highly":[5],"photo-realistic":[6],"novel-view":[7],"synthesis,":[8],"but":[9],"it's":[10],"a":[11,50,90,108],"challenging":[12],"problem":[13],"to":[14,35,81,94,113,131],"edit":[15,37,72],"the":[16,73,78,102,105,143,160],"scenes":[17,39,138,157],"modeled":[18],"by":[19,75,100,118],"NeRF-based":[20],"methods,":[21],"especially":[22],"for":[23],"dynamic":[24,38,156],"scenes.":[25],"We":[26],"propose":[27,89],"editable":[28],"neural":[29],"that":[32,139,148],"enable":[33],"end-users":[34,70],"easily":[36,76],"and":[40,58,96,107,122,134,158],"support":[41],"topological":[42],"changes.":[43],"Input":[44],"with":[45],"an":[46],"image":[47],"sequence":[48],"from":[49],"single":[51],"camera,":[52],"our":[53,64,149],"network":[54],"is":[55],"trained":[56],"automatically":[57],"models":[59],"topologically":[60,115],"varying":[61,116],"dynamics":[62,103,117],"using":[63],"picked-out":[65],"surface":[66],"key":[67,79,98,110,120],"points.":[68],"Then":[69],"can":[71,135],"scene":[74,91],"dragging":[77],"points":[80,99,111,121],"desired":[82],"new":[83],"positions.":[84],"To":[85],"this,":[87],"we":[88],"analysis":[92],"method":[93,126,150],"detect":[95],"initialize":[97],"considering":[101],"in":[104,142],"scene,":[106],"weighted":[109],"strategy":[112],"model":[114],"joint":[119],"weights":[123],"optimization.":[124],"Our":[125],"supports":[127],"intuitive":[128],"multi-dimensional":[129],"(up":[130],"3D)":[132],"editing":[133,153],"generate":[136],"novel":[137],"are":[140],"unseen":[141],"input":[144],"sequence.":[145],"Experiments":[146],"demonstrate":[147],"achieves":[151],"high-quality":[152],"on":[154],"various":[155],"outperforms":[159],"state-of-the-art.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
