{"id":"https://openalex.org/W4399144502","doi":"https://doi.org/10.1145/3654823.3654848","title":"An Efficient Diffusion Depth Image Inpainting Method Based on RGB-Guided","display_name":"An Efficient Diffusion Depth Image Inpainting Method Based on RGB-Guided","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4399144502","doi":"https://doi.org/10.1145/3654823.3654848"},"language":"en","primary_location":{"id":"doi:10.1145/3654823.3654848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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/A5036740170","display_name":"Mengxin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengxin Sun","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-8590-2168","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081893657","display_name":"Zhanli Li","orcid":"https://orcid.org/0000-0002-6719-5346"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanli Li","raw_affiliation_strings":["College of Computer Science and Technology, Xi'an University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-6719-5346","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi'an University of Science and Technology, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036740170"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61148682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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":0.9943000078201294,"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":0.9199545383453369},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8102033734321594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8010932207107544},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6606170535087585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6369132399559021},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5573952794075012},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5529327392578125},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5505419969558716},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5226923227310181},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5076473951339722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2649743854999542},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07831087708473206}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9199545383453369},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8102033734321594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8010932207107544},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6606170535087585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6369132399559021},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5573952794075012},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5529327392578125},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5505419969558716},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5226923227310181},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5076473951339722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2649743854999542},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07831087708473206},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654823.3654848","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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":10,"referenced_works":["https://openalex.org/W1562968274","https://openalex.org/W1923184257","https://openalex.org/W1999788007","https://openalex.org/W2031832209","https://openalex.org/W2147176557","https://openalex.org/W2161879634","https://openalex.org/W2973289689","https://openalex.org/W4281564472","https://openalex.org/W4285125210","https://openalex.org/W4390489284"],"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/W4385702170"],"abstract_inverted_index":{"Depth":[0],"images":[1],"play":[2],"a":[3],"crucial":[4],"role":[5],"in":[6,34,61,70,92,101],"fields":[7],"such":[8],"as":[9,127],"3D":[10],"reconstruction,":[11],"simultaneous":[12],"localization":[13],"and":[14,17,85,172,186,192,204],"mapping":[15],"(SLAM),":[16],"virtual":[18],"reality.":[19],"However,":[20],"depth":[21,31,36,62,113,142],"sensors":[22],"are":[23,69,81,90,125],"often":[24,39],"affected":[25],"by":[26,147],"environmental":[27],"factors":[28],"when":[29,87],"capturing":[30],"images,":[32],"resulting":[33],"obtained":[35],"maps":[37],"that":[38,68,199],"contain":[40],"areas":[41],"of":[42,76,103,140,165],"holes":[43,67,89],"where":[44],"information":[45],"is":[46,96,145,159,202],"lost,":[47],"especially":[48],"at":[49],"object":[50],"edge":[51,72,134],"locations.":[52],"The":[53,196],"traditional":[54],"inpainting":[55,115],"method":[56,116,201],"has":[57],"achieved":[58],"better":[59],"results":[60,197],"image":[63,79,114,123,143],"inpainting,":[64],"but":[65],"for":[66],"the":[71,74,77,88,94,121,133,138,141,148,154,183,187,200],"position,":[73],"edges":[75,124,129,144],"repaired":[78],"objects":[80],"prone":[82],"to":[83,130,161,206],"distortion":[84],"blurring;":[86],"large":[91],"size,":[93],"repair":[95],"incomplete":[97],"or":[98],"more":[99],"costly":[100],"terms":[102],"time.":[104],"In":[105],"this":[106],"paper,":[107],"we":[108,179],"propose":[109],"an":[110],"efficient":[111],"diffusion":[112,157],"based":[117],"on":[118,182],"RGB-guided.":[119],"Firstly,":[120],"color":[122],"extracted":[126],"depth-assisted":[128],"help":[131],"determine":[132],"hole":[135],"locations;":[136],"then,":[137],"integrity":[139],"restored":[146],"local":[149],"maximum":[150],"filling":[151,164],"method;":[152],"finally,":[153],"improved":[155],"curvature-driven":[156],"model":[158],"combined":[160],"achieve":[162],"accurate":[163],"larger":[166],"holes.":[167],"To":[168],"validate":[169],"our":[170],"algorithm":[171],"compare":[173],"it":[174],"with":[175],"other":[176,207],"existing":[177],"methods,":[178],"perform":[180],"experiments":[181],"Kinect":[184],"dataset":[185],"RGBZ":[188],"dataset,":[189],"providing":[190],"qualitative":[191],"quantitative":[193],"results,":[194],"respectively.":[195],"show":[198],"effective":[203],"superior":[205],"methods.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
