{"id":"https://openalex.org/W4293519408","doi":"https://doi.org/10.1109/icme52920.2022.9859850","title":"Feature Pyramid Boosting Network for Rendering Natural Bokeh","display_name":"Feature Pyramid Boosting Network for Rendering Natural Bokeh","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519408","doi":"https://doi.org/10.1109/icme52920.2022.9859850"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859850","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100330618","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0003-1399-7420"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Yi Liu","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103090772","display_name":"Juncheng Zhang","orcid":"https://orcid.org/0000-0003-3661-7312"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Juncheng Zhang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Qingmin Liao","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024437999","display_name":"Haoyu Ma","orcid":"https://orcid.org/0000-0003-0888-6523"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Haoyu Ma","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University,Shenzhen,518055","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616225","display_name":"Shaojun Liu","orcid":"https://orcid.org/0000-0002-9201-9301"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Liu","raw_affiliation_strings":["College of Health Science and Environmental Engineering, Shenzhen Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Health Science and Environmental Engineering, Shenzhen Technology University","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9987999796867371,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.8176587820053101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7259387969970703},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6314314007759094},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.613365888595581},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5653713941574097},{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.550736665725708},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5506522059440613},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5183088183403015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36806559562683105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09257227182388306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8176587820053101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7259387969970703},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6314314007759094},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.613365888595581},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5653713941574097},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.550736665725708},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5506522059440613},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5183088183403015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36806559562683105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09257227182388306},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859850","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2046155154","https://openalex.org/W2331128040","https://openalex.org/W2400000673","https://openalex.org/W2502312327","https://openalex.org/W2562637781","https://openalex.org/W2575286680","https://openalex.org/W2740994353","https://openalex.org/W2753147512","https://openalex.org/W2778650015","https://openalex.org/W2896512449","https://openalex.org/W2922112107","https://openalex.org/W2956939277","https://openalex.org/W2963760790","https://openalex.org/W2969717429","https://openalex.org/W3003641532","https://openalex.org/W3034316458","https://openalex.org/W3034960835","https://openalex.org/W3126718261","https://openalex.org/W3133658600","https://openalex.org/W3174957407","https://openalex.org/W4231972595","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6702130928","https://openalex.org/W6724804524"],"related_works":["https://openalex.org/W4256609757","https://openalex.org/W2152595177","https://openalex.org/W2041117173","https://openalex.org/W2022127494","https://openalex.org/W1810141276","https://openalex.org/W1977757029","https://openalex.org/W2005715326","https://openalex.org/W2418534670","https://openalex.org/W2047186806","https://openalex.org/W2171082272"],"abstract_inverted_index":{"Natural":[0],"bokeh":[1,79,100,118],"is":[2,16,29],"a":[3,21,24,31,55,67,98,104],"typical":[4],"characteristic":[5],"of":[6,46,59,93],"digital":[7],"single-lens":[8],"reflex":[9],"(DSLR)":[10],"cameras":[11],"and":[12,62],"high-quality":[13],"lenses,":[14],"which":[15],"commonly":[17],"used":[18],"to":[19,37,42,77,106],"emphasize":[20],"subject":[22],"from":[23,89],"distracting":[25],"background.":[26],"However,":[27],"it":[28],"still":[30],"big":[32],"challenge":[33],"for":[34],"mobile":[35],"platforms":[36],"produce":[38],"similar":[39],"effects":[40],"due":[41],"the":[43,90,94,120],"small":[44],"apertures":[45],"their":[47],"lenses.":[48],"Unlike":[49],"many":[50],"previous":[51],"methods":[52,87],"formulated":[53],"as":[54],"two-stage":[56],"task":[57],"composed":[58],"depth/defocus":[60],"estimation":[61],"defocus":[63],"magnification,":[64],"we":[65],"propose":[66],"feature":[68],"pyramid":[69],"boosting":[70],"network":[71],"with":[72,119],"novel":[73],"hierarchical":[74],"attention":[75],"modules":[76],"render":[78,116],"in":[80],"one":[81],"step.":[82],"In":[83],"addition,":[84],"existing":[85],"learning-based":[86],"suffer":[88],"pixel":[91],"misalignment":[92],"datasets.":[95],"We":[96],"present":[97],"well-aligned":[99],"dataset":[101],"captured":[102],"by":[103],"DSLR":[105],"address":[107],"this":[108],"problem.":[109],"Experiments":[110],"show":[111],"that":[112],"our":[113],"method":[114,122],"can":[115],"comparable":[117],"state-of-the-art":[121],"but":[123],"requires":[124],"fewer":[125],"parameters.":[126]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
