{"id":"https://openalex.org/W4391407146","doi":"https://doi.org/10.1109/tip.2024.3358675","title":"MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes","display_name":"MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391407146","doi":"https://doi.org/10.1109/tip.2024.3358675","pmid":"https://pubmed.ncbi.nlm.nih.gov/38294916"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3358675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3358675","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","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/A5101864970","display_name":"Jiacheng Hou","orcid":"https://orcid.org/0009-0007-4703-6173"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Hou","raw_affiliation_strings":["Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","School of Electrical and Information Engineering"],"raw_orcid":"https://orcid.org/0009-0007-4703-6173","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005367680","display_name":"Zhong Ji","orcid":"https://orcid.org/0000-0002-2197-3739"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ji","raw_affiliation_strings":["Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","School of Electrical and Information Engineering"],"raw_orcid":"https://orcid.org/0000-0002-2197-3739","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054794372","display_name":"Jinyu Yang","orcid":"https://orcid.org/0009-0006-3567-6299"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jinyu Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","School of Computer Science, University of Birmingham, Birmingham, U.K"],"raw_orcid":"https://orcid.org/0009-0006-3567-6299","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, U.K","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023834700","display_name":"Chengjie Wang","orcid":"https://orcid.org/0000-0003-4216-8090"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjie Wang","raw_affiliation_strings":["Tencent YouTu Lab, Shanghai, China","Department ofComputer Science and Engineering, Shanghai Jiao Tong Universtity, Shanghai, China","Tencent Youtu Lab, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4216-8090","affiliations":[{"raw_affiliation_string":"Tencent YouTu Lab, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Department ofComputer Science and Engineering, Shanghai Jiao Tong Universtity, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Tencent Youtu Lab, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063285882","display_name":"Feng Zheng","orcid":"https://orcid.org/0000-0002-1701-9141"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1701-9141","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3108,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78830549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"33","issue":null,"first_page":"1095","last_page":"1108"},"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":0.9980000257492065,"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":0.9980000257492065,"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":0.9794999957084656,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9549000263214111,"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":0.9438480734825134},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8432711362838745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.772505521774292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365825176239014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7342929840087891},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5009803771972656},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.42549288272857666},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2715721130371094},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0701812207698822}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9438480734825134},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8432711362838745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.772505521774292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365825176239014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7342929840087891},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5009803771972656},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.42549288272857666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2715721130371094},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0701812207698822},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3358675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3358675","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38294916","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38294916","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3930161243","display_name":null,"funder_award_id":"62176178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8142145165","display_name":null,"funder_award_id":"62122035","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1965549271","https://openalex.org/W1985238052","https://openalex.org/W2040369854","https://openalex.org/W2071356085","https://openalex.org/W2147823818","https://openalex.org/W2155830983","https://openalex.org/W2156380531","https://openalex.org/W2159203540","https://openalex.org/W2339170012","https://openalex.org/W2470139095","https://openalex.org/W2521490062","https://openalex.org/W2534237914","https://openalex.org/W2724339714","https://openalex.org/W2752782242","https://openalex.org/W2765302960","https://openalex.org/W2776256943","https://openalex.org/W2794739174","https://openalex.org/W2884585870","https://openalex.org/W2886714066","https://openalex.org/W2945177740","https://openalex.org/W2962785568","https://openalex.org/W2963230212","https://openalex.org/W2969109746","https://openalex.org/W2970400386","https://openalex.org/W2981847730","https://openalex.org/W2986330308","https://openalex.org/W2986433113","https://openalex.org/W2988407809","https://openalex.org/W2991778094","https://openalex.org/W2996849311","https://openalex.org/W3034528136","https://openalex.org/W3034552520","https://openalex.org/W3048475513","https://openalex.org/W3048510980","https://openalex.org/W3080631149","https://openalex.org/W3081997306","https://openalex.org/W3095422700","https://openalex.org/W3097348442","https://openalex.org/W3101501663","https://openalex.org/W3106837280","https://openalex.org/W3109128945","https://openalex.org/W3110653837","https://openalex.org/W3126306189","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3155050726","https://openalex.org/W3165495321","https://openalex.org/W3171287051","https://openalex.org/W3174541782","https://openalex.org/W3180199962","https://openalex.org/W3198225285","https://openalex.org/W3201844719","https://openalex.org/W3206964055","https://openalex.org/W3214326248","https://openalex.org/W4285288115","https://openalex.org/W4297095253","https://openalex.org/W4312655706","https://openalex.org/W4312685069","https://openalex.org/W4312912442","https://openalex.org/W4313147094","https://openalex.org/W4367000115","https://openalex.org/W4381247946","https://openalex.org/W4382240192","https://openalex.org/W4386076096","https://openalex.org/W6745935785","https://openalex.org/W6753914649","https://openalex.org/W6793993304","https://openalex.org/W6852276098","https://openalex.org/W6853188075"],"related_works":["https://openalex.org/W1655795019","https://openalex.org/W2028896475","https://openalex.org/W2082216369","https://openalex.org/W2150382074","https://openalex.org/W2390727152","https://openalex.org/W2000042884","https://openalex.org/W2385373070","https://openalex.org/W3198104320","https://openalex.org/W2364571238","https://openalex.org/W4316813138"],"abstract_inverted_index":{"Video":[0,134],"inpainting":[1,30,60,160,191],"gains":[2],"an":[3],"increasing":[4],"amount":[5],"of":[6],"attention":[7],"ascribed":[8],"to":[9,35,111,140,153],"its":[10],"wide":[11],"applications":[12],"in":[13,22],"intelligent":[14],"video":[15,24,29,59,89,146,159,190],"editing.":[16],"However,":[17],"despite":[18],"tremendous":[19],"progress":[20],"made":[21],"RGB":[23],"inpainting,":[25,90],"the":[26,52,117,128,167,181],"existing":[27],"RGB-D":[28,38,58,68,88,145,158,189],"models":[31],"are":[32,62,108,197],"still":[33],"incompetent":[34],"inpaint":[36,112],"real-world":[37,74,87,162,193],"videos,":[39],"as":[40],"they":[41],"simply":[42],"fuse":[43],"color":[44,105],"and":[45,66,76,85,99,106,120,143,170],"depth":[46,107],"via":[47],"explicit":[48],"feature":[49],"concatenation,":[50],"neglecting":[51],"natural":[53],"modality":[54,118],"gap.":[55],"Moreover,":[56],"current":[57],"datasets":[61],"synthesized":[63],"with":[64,136,148],"homogeneous":[65],"delusive":[67],"data,":[69],"which":[70],"is":[71],"far":[72],"from":[73],"application":[75],"cannot":[77],"provide":[78],"comprehensive":[79,155],"evaluation.":[80],"To":[81],"alleviate":[82],"these":[83],"problems":[84],"achieve":[86],"on":[91,166],"one":[92],"hand,":[93,130],"we":[94,131],"propose":[95],"a":[96,133],"Mutually-guided":[97],"Color":[98],"Depth":[100,137],"Inpainting":[101,135],"Network":[102],"(MCD-Net),":[103],"where":[104],"reciprocally":[109],"leveraged":[110],"each":[113],"other":[114,129],"implicitly,":[115],"mitigating":[116],"gap":[119],"fully":[121],"exploiting":[122],"cross-modal":[123],"association":[124],"for":[125,157],"inpainting.":[126],"On":[127],"build":[132],"(VID)":[138],"dataset":[139,174],"supply":[141],"diverse":[142],"authentic":[144],"data":[147],"various":[149],"object":[150],"annotation":[151],"masks":[152],"enable":[154],"evaluation":[156],"under":[161,192],"scenes.":[163,194],"Experimental":[164],"results":[165],"DynaFill":[168],"benchmark":[169],"our":[171,176],"collected":[172],"VID":[173],"demonstrate":[175],"MCD-Net":[177],"not":[178],"only":[179],"yields":[180],"state-of-the-art":[182],"quantitative":[183],"performance":[184],"but":[185],"successfully":[186],"achieves":[187],"high-quality":[188],"All":[195],"resources":[196],"available":[198],"at":[199],"https://github.com/JCATCV/MCD-Net.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2024-02-01T00:00:00"}