{"id":"https://openalex.org/W4407354633","doi":"https://doi.org/10.1109/tcsvt.2025.3540792","title":"Dynamic Appearance Particle Neural Radiance Field","display_name":"Dynamic Appearance Particle Neural Radiance Field","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4407354633","doi":"https://doi.org/10.1109/tcsvt.2025.3540792"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3540792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3540792","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5051972688","display_name":"Ancheng Lin","orcid":"https://orcid.org/0000-0002-6027-0294"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ancheng Lin","raw_affiliation_strings":["School of Computer Science, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Sydney, Australia","Australian Artificial Intelligence Institute (AAII), School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6027-0294","affiliations":[{"raw_affiliation_string":"School of Computer Science, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Australian Artificial Intelligence Institute (AAII), School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040733258","display_name":"Yusheng Xiang","orcid":"https://orcid.org/0000-0002-4306-961X"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusheng Xiang","raw_affiliation_strings":["School of Automobile, Chang&#x2019;an University, Xi&#x2019;an, China","School of Automobile, Chang&#x2019;an University, Xian, China"],"raw_orcid":"https://orcid.org/0000-0002-4306-961X","affiliations":[{"raw_affiliation_string":"School of Automobile, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Automobile, Chang&#x2019;an University, Xian, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635867","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-1336-2241"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Sydney, Australia","Australian Artificial Intelligence Institute (AAII), School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1336-2241","affiliations":[{"raw_affiliation_string":"School of Computer Science, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Australian Artificial Intelligence Institute (AAII), School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["School of Computer Science, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Sydney, Australia","Australian Artificial Intelligence Institute (AAII), School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7745-9667","affiliations":[{"raw_affiliation_string":"School of Computer Science, Australian Artificial Intelligence Institute (AAII), University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Australian Artificial Intelligence Institute (AAII), School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051972688"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.1258,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70140237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"35","issue":"7","first_page":"6853","last_page":"6866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.2985000014305115,"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"}},"topics":[{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.2985000014305115,"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/radiance","display_name":"Radiance","score":0.7717089653015137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480177998542786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4920751452445984},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4551957845687866},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4481038451194763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42822545766830444},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2574194669723511},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2297767996788025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1616881787776947}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7717089653015137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480177998542786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4920751452445984},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4551957845687866},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4481038451194763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42822545766830444},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2574194669723511},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2297767996788025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1616881787776947},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3540792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3540792","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2036767781","https://openalex.org/W2133665775","https://openalex.org/W2168414272","https://openalex.org/W2962785568","https://openalex.org/W3035678981","https://openalex.org/W3114462840","https://openalex.org/W3153220274","https://openalex.org/W3174752334","https://openalex.org/W3184952021","https://openalex.org/W3215589927","https://openalex.org/W4200150166","https://openalex.org/W4200382072","https://openalex.org/W4214731463","https://openalex.org/W4214748949","https://openalex.org/W4221151978","https://openalex.org/W4281651265","https://openalex.org/W4283730568","https://openalex.org/W4288242633","https://openalex.org/W4312706422","https://openalex.org/W4312926154","https://openalex.org/W4313023542","https://openalex.org/W4313165271","https://openalex.org/W4319996506","https://openalex.org/W4321488276","https://openalex.org/W4323057772","https://openalex.org/W4382469134","https://openalex.org/W4385318467","https://openalex.org/W4385413681","https://openalex.org/W4385626737","https://openalex.org/W4386075614","https://openalex.org/W4386075787","https://openalex.org/W4386076557","https://openalex.org/W4386083092","https://openalex.org/W4386113240","https://openalex.org/W4386453468","https://openalex.org/W4388286240","https://openalex.org/W4390874477","https://openalex.org/W4394593137","https://openalex.org/W4402713101","https://openalex.org/W4402727915","https://openalex.org/W6631190155","https://openalex.org/W6810902373","https://openalex.org/W6838825371","https://openalex.org/W6845617912","https://openalex.org/W6848461040","https://openalex.org/W6850633838","https://openalex.org/W6853312158"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Neural":[0,64],"Radiance":[1,65],"Fields":[2],"(NeRFs)":[3],"have":[4],"shown":[5],"great":[6],"potential":[7],"in":[8,79,118,197],"modeling":[9],"3D":[10,82,199],"scenes.":[11],"Dynamic":[12,61],"NeRFs":[13,28],"extend":[14],"this":[15,57],"model":[16,73],"by":[17],"capturing":[18],"time-varying":[19],"elements,":[20],"typically":[21],"using":[22],"deformation":[23,39],"fields.":[24,40],"The":[25,97],"existing":[26],"dynamic":[27,81,95,98,116,200],"employ":[29],"a":[30,44,53,80,90,94,103,114,125,169,198],"similar":[31],"Eulerian":[32],"representation":[33,71],"for":[34,162],"both":[35],"light":[36],"radiance":[37],"and":[38,49,51,93,121,137],"This":[41],"leads":[42],"to":[43,72,172,185],"close":[45],"coupling":[46],"of":[47,76,86,89,105,113,141,153],"appearance":[48,106,190],"motion":[50,126,139,174],"lacks":[52],"physical":[54],"interpretation.":[55],"In":[56],"work,":[58],"we":[59],"propose":[60],"Appearance":[62],"Particle":[63],"Field":[66],"(DAP-NeRF),":[67],"which":[68,108],"introduces":[69],"particle-based":[70,164],"the":[74,87,110,119,131,134,138,154,163,189,193],"motions":[75,196],"visual":[77,111,135],"elements":[78],"scene.":[83,155,201],"DAP-NeRF":[84,180],"consists":[85],"superposition":[88],"static":[91,132],"field":[92,99],"field.":[96],"is":[100,122,181,203],"quantized":[101],"as":[102],"collection":[104],"particles,":[107,142],"carries":[109],"information":[112],"small":[115],"element":[117],"scene":[120],"equipped":[123],"with":[124],"model.":[127,165],"All":[128],"components,":[129],"including":[130],"field,":[133],"features":[136],"models":[140],"are":[143],"learned":[144],"from":[145],"monocular":[146],"videos":[147],"without":[148],"any":[149],"prior":[150],"geometric":[151],"knowledge":[152],"We":[156,166],"develop":[157],"an":[158,182],"efficient":[159],"computational":[160],"framework":[161],"also":[167,192],"construct":[168],"new":[170],"dataset":[171],"evaluate":[173],"modeling.":[175],"Experimental":[176],"results":[177],"show":[178],"that":[179],"effective":[183],"technique":[184],"capture":[186],"not":[187],"only":[188],"but":[191],"physically":[194],"meaningful":[195],"Code":[202],"available":[204],"at:":[205],"<uri":[206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Cenbylin/DAP-NeRF</uri>.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}