{"id":"https://openalex.org/W2963726353","doi":"https://doi.org/10.1109/tpami.2019.2951667","title":"A Temporally-Aware Interpolation Network for Video Frame Inpainting","display_name":"A Temporally-Aware Interpolation Network for Video Frame Inpainting","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2963726353","doi":"https://doi.org/10.1109/tpami.2019.2951667","mag":"2963726353","pmid":"https://pubmed.ncbi.nlm.nih.gov/31714216"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2951667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2951667","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/A5060823860","display_name":"Ryan Szeto","orcid":"https://orcid.org/0000-0002-2966-7138"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Szeto","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0002-2966-7138","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016934680","display_name":"Ximeng Sun","orcid":"https://orcid.org/0000-0003-2187-0657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ximeng Sun","raw_affiliation_strings":["Department of Computer Science, Boston University, Boston, USA"],"raw_orcid":"https://orcid.org/0000-0003-2187-0657","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston University, Boston, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005697005","display_name":"Lu Kunyi","orcid":"https://orcid.org/0000-0002-3491-3313"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunyi Lu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-3313","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301873","display_name":"Jason J. Corso","orcid":"https://orcid.org/0000-0001-6454-9594"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason J. Corso","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.588,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87024092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"42","issue":"5","first_page":"1053","last_page":"1068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/inpainting","display_name":"Inpainting","score":0.8136532306671143},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.7754417657852173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732667088508606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6970038414001465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6569280624389648},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6458564400672913},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.5278586745262146},{"id":"https://openalex.org/keywords/video-post-processing","display_name":"Video post-processing","score":0.5111008286476135},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.5084084868431091},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5078030228614807},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4708497226238251},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.4689601957798004},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4579348564147949},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.41978615522384644},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.3680795729160309},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.2833578586578369},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.28298133611679077},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.27685242891311646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17798811197280884},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15388748049736023}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8136532306671143},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.7754417657852173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732667088508606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6970038414001465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6569280624389648},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6458564400672913},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.5278586745262146},{"id":"https://openalex.org/C117090137","wikidata":"https://www.wikidata.org/wiki/Q7927977","display_name":"Video post-processing","level":5,"score":0.5111008286476135},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5084084868431091},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5078030228614807},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4708497226238251},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.4689601957798004},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4579348564147949},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.41978615522384644},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.3680795729160309},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2833578586578369},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.28298133611679077},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.27685242891311646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17798811197280884},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15388748049736023},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2019.2951667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2951667","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:31714216","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31714216","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":[{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5803531241","display_name":null,"funder_award_id":"FA8750-17-2-0112","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5869497324","display_name":null,"funder_award_id":"FA8750-16-C-0168","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W79127031","https://openalex.org/W1485009520","https://openalex.org/W1487937094","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1568514080","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1963605855","https://openalex.org/W2015159529","https://openalex.org/W2034328688","https://openalex.org/W2069237980","https://openalex.org/W2100495367","https://openalex.org/W2106026305","https://openalex.org/W2116435618","https://openalex.org/W2117539524","https://openalex.org/W2126579184","https://openalex.org/W2131565286","https://openalex.org/W2133665775","https://openalex.org/W2137940256","https://openalex.org/W2147823818","https://openalex.org/W2150386366","https://openalex.org/W2296495263","https://openalex.org/W2305401973","https://openalex.org/W2422305492","https://openalex.org/W2586480386","https://openalex.org/W2604329646","https://openalex.org/W2615413256","https://openalex.org/W2785678896","https://openalex.org/W2899771611","https://openalex.org/W2912536233","https://openalex.org/W2962785568","https://openalex.org/W2962835968","https://openalex.org/W2963093735","https://openalex.org/W2963125871","https://openalex.org/W2963302737","https://openalex.org/W2963435596","https://openalex.org/W2963629403","https://openalex.org/W2963756161","https://openalex.org/W2963836885","https://openalex.org/W2964121744","https://openalex.org/W2964151830","https://openalex.org/W2964251418","https://openalex.org/W2964270168","https://openalex.org/W3106221724","https://openalex.org/W4249279051","https://openalex.org/W4294306266","https://openalex.org/W4294554810","https://openalex.org/W4297772798","https://openalex.org/W6600983433","https://openalex.org/W6603241722","https://openalex.org/W6628877408","https://openalex.org/W6629153415","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6634221342","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6675871329","https://openalex.org/W6677326919","https://openalex.org/W6691096134","https://openalex.org/W6697825153","https://openalex.org/W6713563955","https://openalex.org/W6728805014","https://openalex.org/W6738465933","https://openalex.org/W6745420753","https://openalex.org/W6748582592","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2098025439","https://openalex.org/W3203041407","https://openalex.org/W2093556634","https://openalex.org/W2107302173","https://openalex.org/W2350572889","https://openalex.org/W2883634675","https://openalex.org/W2166174812","https://openalex.org/W4223615260","https://openalex.org/W2963726353","https://openalex.org/W2514536886"],"abstract_inverted_index":{"In":[0],"this":[1,54],"work,":[2],"we":[3,56],"explore":[4],"video":[5,17,22,35,63,74,125,151,156],"frame":[6,19,64,80,153],"inpainting,":[7,18,152],"a":[8,58,72,78,104],"task":[9],"that":[10,49,66,137],"lies":[11],"at":[12],"the":[13,45,91,97,113,124,132],"intersection":[14],"of":[15,69,90],"general":[16,150],"interpolation,":[20,154],"and":[21,77,99,120,142,155],"prediction.":[23,157],"Although":[24],"our":[25,50,138],"problem":[26,51],"can":[27],"be":[28],"addressed":[29],"by":[30,116],"applying":[31],"methods":[32,148],"from":[33,123],"other":[34],"interpolation":[36,81,110],"or":[37],"extrapolation":[38],"tasks,":[39],"doing":[40],"so":[41],"fails":[42],"to":[43,128],"leverage":[44],"additional":[46],"context":[47],"information":[48,119],"provides.":[52],"To":[53],"end,":[55],"devise":[57],"method":[59],"specifically":[60],"designed":[61],"for":[62,149],"inpainting":[65],"is":[67],"composed":[68],"two":[70,87],"modules:":[71],"bidirectional":[73],"prediction":[75,84,126],"module":[76,85,111,127],"temporally-aware":[79],"module.":[82],"The":[83,109],"makes":[86],"intermediate":[88,114],"predictions":[89,115],"missing":[92],"frames,":[93],"each":[94],"conditioned":[95],"on":[96],"preceding":[98],"following":[100],"frames":[101],"respectively,":[102],"using":[103,117],"shared":[105],"convolutional":[106],"LSTM-based":[107],"encoder-decoder.":[108],"blends":[112],"time":[118],"hidden":[121],"activations":[122],"resolve":[129],"disagreements":[130],"between":[131],"predictions.":[133],"Our":[134],"experiments":[135],"demonstrate":[136],"approach":[139],"produces":[140],"smoother":[141],"more":[143],"accurate":[144],"results":[145],"than":[146],"state-of-the-art":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}