{"id":"https://openalex.org/W4304091953","doi":"https://doi.org/10.1145/3503161.3547946","title":"Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis","display_name":"Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304091953","doi":"https://doi.org/10.1145/3503161.3547946"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547946","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547946","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-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/A5100702796","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0002-9938-0917"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108089759","display_name":"Kaixin Wang","orcid":"https://orcid.org/0009-0000-6049-0310"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixin Wang","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054129422","display_name":"Yanbo Gao","orcid":"https://orcid.org/0000-0001-9584-9290"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbo Gao","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675222","display_name":"Xun Cai","orcid":"https://orcid.org/0000-0003-1851-0554"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Cai","raw_affiliation_strings":["Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4129,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70575708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1512","last_page":"1521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9975000023841858,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9973999857902527,"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/image-warping","display_name":"Image warping","score":0.9532366991043091},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.8742097616195679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7716743350028992},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7567127346992493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.73276686668396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7083457708358765},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5550621747970581},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.5164575576782227},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42622503638267517},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10742837190628052}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.9532366991043091},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.8742097616195679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7716743350028992},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7567127346992493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.73276686668396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7083457708358765},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5550621747970581},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.5164575576782227},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42622503638267517},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10742837190628052}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3547946","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547946","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1144551848","display_name":null,"funder_award_id":"61901083;62001092","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970824860","https://openalex.org/W2000818808","https://openalex.org/W2002955990","https://openalex.org/W2012875423","https://openalex.org/W2016416397","https://openalex.org/W2023746279","https://openalex.org/W2046321681","https://openalex.org/W2080900088","https://openalex.org/W2106556114","https://openalex.org/W2112205831","https://openalex.org/W2141994388","https://openalex.org/W2142990573","https://openalex.org/W2158014263","https://openalex.org/W2160262053","https://openalex.org/W2249309460","https://openalex.org/W2290777513","https://openalex.org/W2310701128","https://openalex.org/W2471866883","https://openalex.org/W2495603374","https://openalex.org/W2499631751","https://openalex.org/W2601564443","https://openalex.org/W2738588019","https://openalex.org/W2741885505","https://openalex.org/W2770684966","https://openalex.org/W2784130972","https://openalex.org/W2798365772","https://openalex.org/W2804091141","https://openalex.org/W2963255313","https://openalex.org/W2963557767","https://openalex.org/W2963881378","https://openalex.org/W2966926453","https://openalex.org/W2990256309","https://openalex.org/W3008707240","https://openalex.org/W3010302077","https://openalex.org/W3034801905","https://openalex.org/W3104631102","https://openalex.org/W3109244019","https://openalex.org/W3109585842","https://openalex.org/W3171145773","https://openalex.org/W3171287051","https://openalex.org/W3172568571","https://openalex.org/W3176368002","https://openalex.org/W3186630079","https://openalex.org/W4242177601","https://openalex.org/W4302189398"],"related_works":["https://openalex.org/W2092666677","https://openalex.org/W2035335582","https://openalex.org/W4304091953","https://openalex.org/W2099081200","https://openalex.org/W1592699221","https://openalex.org/W4226390890","https://openalex.org/W2000818808","https://openalex.org/W4237178794","https://openalex.org/W2181483861","https://openalex.org/W3035116386"],"abstract_inverted_index":{"Depth":[0],"Image":[1],"based":[2,25,106,199],"Rendering":[3],"(DIBR)":[4],"oriented":[5,99],"view":[6,12,19,100,156,179],"synthesis":[7],"is":[8,114,183,233],"an":[9,176],"important":[10],"virtual":[11],"generation":[13],"technique.":[14],"It":[15],"warps":[16],"the":[17,22,37,63,71,97,120,126,133,139,145,148,158,161,170,189,206,211,214,227,237],"reference":[18],"images":[20,163,225],"to":[21,44,53,68,95,143,151,169,186],"target":[23],"viewpoint":[24],"on":[26],"their":[27],"depth":[28],"maps,":[29],"without":[30],"requiring":[31],"many":[32],"available":[33],"viewpoints.":[34],"However,":[35],"in":[36,57,125,132,155,160],"3D":[38],"warping":[39,59,89,108,122,141,174],"process,":[40],"pixels":[41,150,159,190],"are":[42,164],"warped":[43,162,193],"fractional":[45,78,149],"pixel":[46,79],"locations":[47],"and":[48,61,202,209,230],"then":[49],"rounded":[50],"(or":[51],"interpolated)":[52],"integer":[54,152],"pixels,":[55],"resulting":[56],"geometric":[58,88,107,121,140],"error":[60,90,109,123,142],"reducing":[62],"image":[64,72],"quality.":[65],"This":[66],"resembles,":[67],"some":[69],"extent,":[70],"super-resolution":[73],"problem,":[74,84],"but":[75],"with":[76],"unfixed":[77],"locations.":[80],"To":[81],"address":[82],"this":[83],"we":[85],"propose":[86],"a":[87,103,196],"aware":[91,110],"CNN":[92],"(GWEA)":[93],"framework":[94],"enhance":[96],"DIBR":[98,127],"synthesis.":[101],"First,":[102],"deformable":[104,134],"convolution":[105,135,198],"alignment":[111],"(GWEA-DCA)":[112],"module":[113,182,204],"developed,":[115],"by":[116],"taking":[117],"advantage":[118],"of":[119,165,173,213,239],"preserved":[124],"module.":[128,242],"The":[129],"offset":[130],"learned":[131],"can":[136,222],"account":[137],"for":[138],"facilitate":[144],"mapping":[146],"from":[147,191],"pixels.":[153],"Moreover,":[154],"that":[157,219],"different":[166,171,192],"qualities":[167],"due":[168],"strengths":[172],"errors,":[175],"attention":[177],"enhanced":[178],"blending":[180],"(GWEA-AttVB)":[181],"further":[184],"developed":[185],"adaptively":[187],"fuse":[188],"images.":[194],"Finally,":[195],"partial":[197],"hole":[200],"filling":[201],"refinement":[203],"fills":[205],"remaining":[207],"holes":[208],"improves":[210],"quality":[212],"overall":[215],"image.":[216],"Experiments":[217],"show":[218],"our":[220],"model":[221],"synthesize":[223],"higher-quality":[224],"than":[226],"existing":[228],"methods,":[229],"ablation":[231],"study":[232],"also":[234],"conducted,":[235],"validating":[236],"effectiveness":[238],"each":[240],"proposed":[241]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}