{"id":"https://openalex.org/W4391428903","doi":"https://doi.org/10.1109/tpami.2024.3361010","title":"Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting","display_name":"Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4391428903","doi":"https://doi.org/10.1109/tpami.2024.3361010","pmid":"https://pubmed.ncbi.nlm.nih.gov/38300784"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3361010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3361010","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5041821445","display_name":"Kaidong Zhang","orcid":"https://orcid.org/0000-0002-6467-7112"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaidong Zhang","raw_affiliation_strings":["MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6467-7112","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085132031","display_name":"Jialun Peng","orcid":"https://orcid.org/0009-0001-2495-3311"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialun Peng","raw_affiliation_strings":["MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0001-2495-3311","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567201","display_name":"Jingjing Fu","orcid":"https://orcid.org/0009-0004-2806-4791"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Fu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-2806-4791","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9100-2906","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6248,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90564406,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"7","first_page":"4977","last_page":"4992"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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":0.9979000091552734,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9929999709129333,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/inpainting","display_name":"Inpainting","score":0.8943850994110107},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.8035861253738403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7978602647781372},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7617157697677612},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5888221859931946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5508553385734558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4925609230995178},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18041545152664185},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08587726950645447}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8943850994110107},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8035861253738403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978602647781372},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7617157697677612},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5888221859931946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508553385734558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4925609230995178},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18041545152664185},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08587726950645447},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3361010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3361010","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38300784","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38300784","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G566643046","display_name":null,"funder_award_id":"WK3490000006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G879442631","display_name":null,"funder_award_id":"62036005","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1487937094","https://openalex.org/W1522734439","https://openalex.org/W1901129140","https://openalex.org/W1993120651","https://openalex.org/W2035612937","https://openalex.org/W2069237980","https://openalex.org/W2133665775","https://openalex.org/W2145023731","https://openalex.org/W2165736859","https://openalex.org/W2169574628","https://openalex.org/W2194775991","https://openalex.org/W2295936755","https://openalex.org/W2296495263","https://openalex.org/W2551763541","https://openalex.org/W2738588019","https://openalex.org/W2798365772","https://openalex.org/W2883723049","https://openalex.org/W2886714066","https://openalex.org/W2886787375","https://openalex.org/W2889986507","https://openalex.org/W2916743882","https://openalex.org/W2962785568","https://openalex.org/W2963420272","https://openalex.org/W2963616706","https://openalex.org/W2963820951","https://openalex.org/W2966926453","https://openalex.org/W2969109746","https://openalex.org/W2970400386","https://openalex.org/W2982763192","https://openalex.org/W2986330308","https://openalex.org/W2986433113","https://openalex.org/W2987614525","https://openalex.org/W2988407809","https://openalex.org/W2991377405","https://openalex.org/W3014447010","https://openalex.org/W3035251567","https://openalex.org/W3043547428","https://openalex.org/W3094825490","https://openalex.org/W3095422700","https://openalex.org/W3096609285","https://openalex.org/W3096831136","https://openalex.org/W3097348442","https://openalex.org/W3104962140","https://openalex.org/W3106221724","https://openalex.org/W3106853541","https://openalex.org/W3109908659","https://openalex.org/W3138516171","https://openalex.org/W3145185940","https://openalex.org/W3155050726","https://openalex.org/W3157035436","https://openalex.org/W3166762869","https://openalex.org/W3168649818","https://openalex.org/W3171287051","https://openalex.org/W3171933509","https://openalex.org/W3192582802","https://openalex.org/W3199003182","https://openalex.org/W3201844719","https://openalex.org/W3207918547","https://openalex.org/W4214493665","https://openalex.org/W4214589115","https://openalex.org/W4214614183","https://openalex.org/W4214624153","https://openalex.org/W4214647905","https://openalex.org/W4297775537","https://openalex.org/W4312598744","https://openalex.org/W4312655706","https://openalex.org/W4312746248","https://openalex.org/W4312885580","https://openalex.org/W4312912442","https://openalex.org/W4312936768","https://openalex.org/W4312985394","https://openalex.org/W4319301042","https://openalex.org/W4385245566","https://openalex.org/W4392543517","https://openalex.org/W6631190155","https://openalex.org/W6735925877","https://openalex.org/W6737664043","https://openalex.org/W6765279218","https://openalex.org/W6780226713","https://openalex.org/W6784333009","https://openalex.org/W6792695861","https://openalex.org/W6793993304","https://openalex.org/W6794345597","https://openalex.org/W6803680838"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W3214306048","https://openalex.org/W2587407424"],"abstract_inverted_index":{"Transformers":[0],"have":[1],"been":[2],"widely":[3],"used":[4,160],"for":[5,24],"video":[6,25,91,195],"processing":[7],"owing":[8],"to":[9,60,85,109,127,143,161,190],"the":[10,17,28,32,58,62,79,111,124,129,140,144,149,152,163,177,193],"multi-head":[11],"self":[12,40,63],"attention":[13],"(MHSA)":[14],"mechanism.":[15,185],"However,":[16],"MHSA":[18,169,184],"mechanism":[19],"encounters":[20],"an":[21],"intrinsic":[22],"difficulty":[23],"inpainting,":[26],"since":[27],"features":[29,141],"associated":[30],"with":[31,132,176],"corrupted":[33],"regions":[34],"are":[35,159,174],"degraded":[36],"and":[37,55,82,89,105,154,171,199],"incur":[38],"inaccurate":[39],"attention.":[41],"This":[42],"problem,":[43],"termed":[44],"query":[45,112],"degradation,":[46,113],"may":[47],"be":[48,191],"mitigated":[49],"by":[50,101],"first":[51],"completing":[52],"optical":[53],"flows":[54,59,158],"then":[56],"using":[57,102],"guide":[61],"attention,":[64],"which":[65,122],"was":[66],"verified":[67],"in":[68],"our":[69],"previous":[70],"work":[71],"-":[72],"flow-guided":[73,134],"transformer":[74,150],"(FGT).":[75],"We":[76],"further":[77],"exploit":[78],"flow":[80,98,117],"guidance":[81,118],"propose":[83,115],"FGT++":[84,186],"pursue":[86],"more":[87],"effective":[88],"efficient":[90],"inpainting.":[92],"First,":[93],"we":[94,114,147],"design":[95],"a":[96,116,133,166,182],"lightweight":[97],"completion":[99],"network":[100],"local":[103,179],"aggregation":[104],"edge":[106],"loss.":[107],"Second,":[108],"address":[110],"feature":[119,135],"integration":[120],"module,":[121],"uses":[123],"motion":[125],"discrepancy":[126],"enhance":[128],"features,":[130],"together":[131],"propagation":[136],"module":[137],"that":[138],"warps":[139],"according":[142],"flows.":[145],"Third,":[146],"decouple":[148],"along":[151],"temporal":[153],"spatial":[155],"dimensions,":[156],"where":[157],"select":[162],"tokens":[164,173,180],"through":[165,181],"temporally":[167],"deformable":[168],"mechanism,":[170],"global":[172],"combined":[175],"inner-window":[178],"dual-perspective":[183],"is":[187],"experimentally":[188],"evaluated":[189],"outperforming":[192],"existing":[194],"inpainting":[196],"networks":[197],"qualitatively":[198],"quantitatively.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}