{"id":"https://openalex.org/W4408861907","doi":"https://doi.org/10.1109/icce63647.2025.10929902","title":"Inpainting the Degraded Area with Diffusion Model","display_name":"Inpainting the Degraded Area with Diffusion Model","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408861907","doi":"https://doi.org/10.1109/icce63647.2025.10929902"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10929902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10929902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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/A5026727740","display_name":"Hyun-Tae Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Tae Choi","raw_affiliation_strings":["Chung-Ang University,Dept. Artificial Intelligence,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Dept. Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065943331","display_name":"Byung\u2010Woo Hong","orcid":"https://orcid.org/0000-0003-2752-3939"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung-Woo Hong","raw_affiliation_strings":["Chung-Ang University,Dept. Artificial Intelligence,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Dept. Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06134125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9492999911308289,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9284999966621399,"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":0.6410120725631714},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6248992681503296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5685290098190308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32969874143600464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32415831089019775},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32276442646980286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12486308813095093},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07312873005867004},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.06146213412284851}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.6410120725631714},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6248992681503296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5685290098190308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32969874143600464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32415831089019775},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32276442646980286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12486308813095093},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07312873005867004},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.06146213412284851}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce63647.2025.10929902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10929902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2065195503","https://openalex.org/W2229690984","https://openalex.org/W2992838650","https://openalex.org/W3096831136","https://openalex.org/W4386121018","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W2135359786","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"In":[0,52],"recent":[1],"years,":[2],"diffusion":[3,19],"models":[4],"have":[5,26],"gained":[6],"prominence":[7],"for":[8,147],"their":[9,34,41],"ability":[10],"to":[11,60,82],"generate":[12],"high-quality":[13],"images":[14,139],"by":[15,98],"reversing":[16],"a":[17,57,113,117],"stochastic":[18],"process.":[20,73],"Denoising":[21],"Diffusion":[22],"Probabilistic":[23],"Models":[24],"(DDPMs)":[25],"shown":[27],"state-of-the-art":[28],"performance":[29],"in":[30,43,100,150,170],"image":[31,48,97,151],"synthesis,":[32],"but":[33],"focus":[35],"on":[36,126],"removing":[37],"Gaussian":[38],"noise":[39],"limits":[40],"application":[42],"cases":[44],"where":[45],"only":[46],"partial":[47],"information":[49],"is":[50,135],"available.":[51],"this":[53,109],"paper,":[54],"we":[55,111],"propose":[56],"novel":[58],"adaptation":[59],"the":[61,66,95,101,106,120,124],"DDPM":[62],"framework":[63],"that":[64,132],"replaces":[65],"conventional":[67],"denoising":[68],"process":[69,93,164],"with":[70,142],"an":[71],"inpainting":[72],"Our":[74],"approach":[75],"progressively":[76],"removes":[77],"random":[78],"pixels,":[79],"setting":[80],"them":[81],"zero":[83],"at":[84],"each":[85],"timestep":[86],"instead":[87],"of":[88,108,119,137],"adding":[89],"noise.":[90],"The":[91],"reverse":[92],"reconstructs":[94],"original":[96],"filling":[99],"missing":[102],"pixels.":[103],"To":[104],"demonstrate":[105],"feasibility":[107],"method,":[110],"conducted":[112],"prototype":[114],"experiment":[115],"using":[116],"subset":[118],"CelebA-HQ":[121],"dataset,":[122],"training":[123],"model":[125],"128":[127],"images.":[128],"Initial":[129],"results":[130],"indicate":[131],"our":[133],"method":[134],"capable":[136],"reconstructing":[138],"effectively,":[140],"even":[141],"limited":[143],"data,":[144],"suggesting":[145],"potential":[146],"future":[148],"work":[149],"restoration":[152],"and":[153],"enhancement":[154],"tasks.":[155],"However,":[156],"challenge":[157],"such":[158],"as":[159],"low":[160],"diversity":[161],"during":[162],"sampling":[163],"remains,":[165],"which":[166],"will":[167],"be":[168],"addressed":[169],"subsequent":[171],"research.":[172]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
