乐胖代购免代理版

{"id":"https://openalex.org/W4323972007","doi":"https://doi.org/10.48550/arxiv.2303.05512","title":"PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification","display_name":"PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323972007","doi":"https://doi.org/10.48550/arxiv.2303.05512"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2303.05512","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2303.05512","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100362375","display_name":"Xuan Li","orcid":"https://orcid.org/0000-0003-3999-8923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010354503","display_name":"Yi-Ling Qiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiao, Yi-Ling","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018517863","display_name":"Peter Yichen Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Peter Yichen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047370393","display_name":"Krishna Murthy Jatavallabhula","orcid":"https://orcid.org/0000-0003-4927-3387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jatavallabhula, Krishna Murthy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100302832","display_name":"Ming Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Ming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068163735","display_name":"Chenfanfu Jiang","orcid":"https://orcid.org/0000-0003-3506-0583"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Chenfanfu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040877128","display_name":"Chuang Gan","orcid":"https://orcid.org/0000-0003-4031-5886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gan, Chuang","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.762268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":90},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9821,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9821,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.982,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.98,"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/representation","display_name":"Representation","score":0.46008185}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7853042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.52168936},{"id":"https://openalex.org/C43058520","wikidata":"https://www.wikidata.org/wiki/Q624580","display_name":"Eulerian path","level":3,"score":0.5043601},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46008185},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.44221845},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.36978883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3341558},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.15658137},{"id":"https://openalex.org/C53469067","wikidata":"https://www.wikidata.org/wiki/Q505735","display_name":"Lagrangian","level":2,"score":0.15248594},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.086918324},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2303.05512","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.05512","pdf_url":"http://arxiv.org/pdf/2303.05512","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2303.05512","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2303.05512","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4321518006","https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2331836163","https://openalex.org/W2087009495","https://openalex.org/W2043512367","https://openalex.org/W2024462231","https://openalex.org/W2005276308","https://openalex.org/W1994657804","https://openalex.org/W1970182911"],"abstract_inverted_index":{"Existing":[0],"approaches":[1],"to":[2,40,73,92,105],"system":[3,46],"identification":[4],"(estimating":[5],"the":[6,76,101,107,122,129,141,158,170],"physical":[7,45,80,179],"parameters":[8,42,81],"of":[9,26,50,82,110,121,172,186],"an":[10],"object)":[11],"from":[12,47,86],"videos":[13,52],"assume":[14],"known":[15],"object":[16,29,57],"geometries.":[17],"This":[18,148],"precludes":[19],"their":[20],"applicability":[21],"in":[22],"a":[23,44,48,117,183],"vast":[24,184],"majority":[25],"scenes":[27],"where":[28],"geometries":[30],"are":[31],"complex":[32],"or":[33,59],"unknown.":[34],"In":[35],"this":[36,62],"work,":[37],"we":[38,64,115,127],"aim":[39],"identify":[41],"characterizing":[43],"set":[49],"multi-view":[51,87],"without":[53],"any":[54],"assumption":[55],"on":[56,176,202],"geometry":[58,78,177],"topology.":[60],"To":[61],"end,":[63],"propose":[65],"\"Physics":[66],"Augmented":[67],"Continuum":[68],"Neural":[69],"Radiance":[70],"Fields\"":[71],"(PAC-NeRF),":[72],"estimate":[74],"both":[75],"unknown":[77],"and":[79,136,178,194,197],"highly":[83],"dynamic":[84],"objects":[85],"videos.":[88],"We":[89,168],"design":[90,116],"PAC-NeRF":[91],"only":[93],"ever":[94],"produce":[95],"physically":[96],"plausible":[97],"states":[98],"by":[99],"enforcing":[100],"neural":[102,123,142,155],"radiance":[103,124,143],"field":[104],"follow":[106],"conservation":[108],"laws":[109],"continuum":[111],"mechanics.":[112],"For":[113],"this,":[114],"hybrid":[118,149],"Eulerian-Lagrangian":[119,150],"representation":[120,132,151],"field,":[125],"i.e.,":[126],"use":[128],"Eulerian":[130],"grid":[131],"for":[133,163],"NeRF":[134],"density":[135],"color":[137],"fields,":[138],"while":[139],"advecting":[140],"fields":[144],"via":[145],"Lagrangian":[146],"particles.":[147],"seamlessly":[152],"blends":[153],"efficient":[154],"rendering":[156],"with":[157],"material":[159],"point":[160],"method":[161],"(MPM)":[162],"robust":[164],"differentiable":[165],"physics":[166],"simulation.":[167],"validate":[169],"effectiveness":[171],"our":[173],"proposed":[174],"framework":[175],"parameter":[180],"estimation":[181],"over":[182],"range":[185],"materials,":[187],"including":[188],"elastic":[189],"bodies,":[190],"plasticine,":[191],"sand,":[192],"Newtonian":[193],"non-Newtonian":[195],"fluids,":[196],"demonstrate":[198],"significant":[199],"performance":[200],"gain":[201],"most":[203],"tasks.":[204]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4323972007","counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2024-12-22T20:50:00.110041","created_date":"2023-03-13"}