{"id":"https://openalex.org/W2940630699","doi":"https://doi.org/10.2312/pg.20181271","title":"Efficient Metropolis Path Sampling for Material Editing and Re-rendering","display_name":"Efficient Metropolis Path Sampling for Material Editing and Re-rendering","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2940630699","doi":"https://doi.org/10.2312/pg.20181271","mag":"2940630699"},"language":"en","primary_location":{"id":"pmh:oai:irdb.nii.ac.jp:01368:0007316430","is_oa":true,"landing_page_url":"https://hit-u.repo.nii.ac.jp/records/2059687","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pacific Graphics Short Papers","raw_type":"journal article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hit-u.repo.nii.ac.jp/records/2059687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081703435","display_name":"Tomoya Yamaguchi","orcid":"https://orcid.org/0000-0003-0996-5725"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yamaguchi, Tomoya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071419414","display_name":"Tatsuya Yatagawa","orcid":"https://orcid.org/0000-0003-4653-2435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yatagawa, Tatsuya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083427215","display_name":"Shigeo Morishima","orcid":"https://orcid.org/0000-0001-8859-6539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morishima, Shigeo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6495,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81119691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9865999817848206,"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":0.9865999817848206,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9351999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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-graphics","display_name":"Computer graphics (images)","score":0.6068445444107056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749059915542603},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5554140210151672},{"id":"https://openalex.org/keywords/path-tracing","display_name":"Path tracing","score":0.4235111176967621},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.402559757232666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3575664162635803}],"concepts":[{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6068445444107056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749059915542603},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5554140210151672},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.4235111176967621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.402559757232666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3575664162635803}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:irdb.nii.ac.jp:01368:0007316430","is_oa":true,"landing_page_url":"https://hit-u.repo.nii.ac.jp/records/2059687","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pacific Graphics Short Papers","raw_type":"journal article"},{"id":"doi:10.2312/pg.20181271","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20181271","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01368:0007316430","is_oa":true,"landing_page_url":"https://hit-u.repo.nii.ac.jp/records/2059687","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pacific Graphics Short Papers","raw_type":"journal article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3169556391","https://openalex.org/W3172950807","https://openalex.org/W3185033788","https://openalex.org/W2884298752","https://openalex.org/W3042903009","https://openalex.org/W3042547367","https://openalex.org/W2987150871","https://openalex.org/W2109163816","https://openalex.org/W2101307508","https://openalex.org/W3116372477","https://openalex.org/W3081999312","https://openalex.org/W2184657470","https://openalex.org/W2100978696","https://openalex.org/W2015435558","https://openalex.org/W2510494910","https://openalex.org/W2148997479","https://openalex.org/W1987288184","https://openalex.org/W2206835451","https://openalex.org/W2098565486","https://openalex.org/W2122280985"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"efficient":[3],"path":[4,26,128],"sampling":[5,14,134],"for":[6,87],"re-rendering":[7],"scenes":[8,140],"after":[9,47,80,97],"material":[10],"editing.":[11,37,81],"The":[12],"proposed":[13,133],"method":[15,135],"is":[16],"based":[17],"on":[18],"Metropolis":[19],"light":[20],"transport":[21],"(MLT)":[22],"and":[23,46,79,93,141,149],"distributes":[24],"more":[25,85],"samples":[27],"to":[28,49],"pixels":[29,88],"whose":[30],"values":[31,92],"have":[32],"been":[33],"changed":[34],"significantly":[35],"by":[36,73,99],"First,":[38],"we":[39,59,83,111],"calculate":[40],"the":[41,51,61,68,71,76,95,107,132,152],"difference":[42,62,69,91],"between":[43],"images":[44,72,77],"before":[45,78],"editing":[48,98],"estimate":[50],"changes":[52],"in":[53,70],"pixel":[54],"values.":[55],"In":[56],"this":[57],"step,":[58],"render":[60,94],"image":[63],"directly":[64],"rather":[65],"than":[66],"calculating":[67],"separately":[74],"rendering":[75,114],"Then,":[82],"sample":[84],"paths":[86],"with":[89,116,136],"larger":[90],"scene":[96],"reducing":[100],"variances":[101,150],"of":[102,120,127,139],"Monte":[103],"Carlo":[104],"estimators":[105],"using":[106,122],"control":[108],"variates.":[109],"Thus,":[110],"can":[112],"obtain":[113],"results":[115],"a":[117,124,137],"small":[118,125],"amount":[119],"noise":[121],"only":[123],"number":[126],"samples.":[129],"We":[130],"examine":[131],"range":[138],"demonstrate":[142],"that":[143],"it":[144],"achieves":[145],"lower":[146],"estimation":[147],"errors":[148],"over":[151],"state-of-the-art":[153],"methods.":[154]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}