{"id":"https://openalex.org/W4411635435","doi":"https://doi.org/10.1145/3731715.3733381","title":"MAD-paint: Mask-Aware Diffusion Sampling for Image Inpainting","display_name":"MAD-paint: Mask-Aware Diffusion Sampling for Image Inpainting","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411635435","doi":"https://doi.org/10.1145/3731715.3733381"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","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/A5101201453","display_name":"Shipeng Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shipeng Jiang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0001-0529-9967","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114197626","display_name":"Jingwei Qu","orcid":"https://orcid.org/0000-0003-4607-8703"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Qu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4607-8703","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081934804","display_name":"Bingyao Huang","orcid":"https://orcid.org/0000-0002-8647-5730"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyao Huang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8647-5730","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.8823,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74770565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"607","last_page":"615"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9962999820709229,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9059655666351318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5897728800773621},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5395838618278503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5220287442207336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5196505784988403},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.47682613134384155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4761931002140045},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4576290249824524},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0558415949344635}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9059655666351318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5897728800773621},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5395838618278503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5220287442207336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5196505784988403},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.47682613134384155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4761931002140045},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4576290249824524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0558415949344635},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4684574219","display_name":null,"funder_award_id":"62302401","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1993120651","https://openalex.org/W2093212899","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2153237085","https://openalex.org/W2557414982","https://openalex.org/W2798365772","https://openalex.org/W2963255313","https://openalex.org/W2990138404","https://openalex.org/W3035512475","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3166762869","https://openalex.org/W3175375202","https://openalex.org/W3203538104","https://openalex.org/W4312383858","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W4366734343","https://openalex.org/W4386076368","https://openalex.org/W4386083151","https://openalex.org/W4392405703","https://openalex.org/W4394625844","https://openalex.org/W4399418446","https://openalex.org/W4402753751","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W2017457812","https://openalex.org/W3178025616","https://openalex.org/W2060947339","https://openalex.org/W2131831293","https://openalex.org/W2946160871","https://openalex.org/W3035059915","https://openalex.org/W1995073329","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507"],"abstract_inverted_index":{"Image":[0],"inpainting":[1,95,114,174],"aims":[2],"to":[3,55,81,106,132,158],"repair":[4],"digital":[5],"images":[6],"with":[7],"defects":[8],"such":[9],"as":[10,136],"holes":[11],"and":[12,17,73],"scratches":[13],"at":[14],"both":[15],"semantic":[16],"textural":[18],"levels.":[19],"Diffusion":[20,69],"models":[21],"have":[22],"shown":[23],"great":[24],"success":[25],"in":[26],"image":[27,147],"inpainting,":[28],"delivering":[29],"high-quality":[30],"results.":[31],"However,":[32],"existing":[33],"diffusion-based":[34,173],"methods":[35],"often":[36],"overlook":[37],"the":[38,87,94,108,139,145,166],"shape":[39],"of":[40,110,168],"defective":[41],"regions/masks,":[42],"applying":[43,76],"a":[44,101,121,152],"uniform":[45],"sampling":[46,70,123,129],"strategy":[47,130],"across":[48],"varying":[49],"shapes.":[50],"This":[51],"oversight":[52],"may":[53],"lead":[54],"low-quality":[56],"or":[57],"semantically":[58],"inappropriate":[59],"restored":[60],"images.":[61],"In":[62,142],"this":[63,117],"paper,":[64],"we":[65,119,150],"propose":[66,120,151],"MAD-paint":[67],"(Mask-Aware":[68],"for":[71,103],"inpainting),":[72],"show":[74],"that":[75,125],"different":[77,111,133],"noise":[78],"types":[79],"tailored":[80],"specific":[82],"defect":[83],"regions/mask":[84],"shapes":[85],"during":[86],"reverse":[88],"diffusion":[89],"process":[90],"can":[91],"significantly":[92],"improve":[93],"quality.":[96,115],"We":[97],"begin":[98],"by":[99,138],"introducing":[100],"metric":[102],"mask":[104,134,140],"uncertainty":[105],"assess":[107],"impact":[109],"masks":[112],"on":[113],"Using":[116],"metric,":[118],"mask-aware":[122],"approach":[124],"automatically":[126],"adjusts":[127],"its":[128],"according":[131],"shapes,":[135],"indicated":[137],"uncertainty.":[141],"addition,":[143],"leveraging":[144],"known":[146,153],"texture":[148,160],"consistency,":[149],"region-guided":[154],"iterative":[155],"refinement":[156],"mechanism":[157],"condition":[159],"restoration.":[161],"The":[162],"experimental":[163],"results":[164],"demonstrate":[165],"advantages":[167],"our":[169],"method":[170],"over":[171],"other":[172],"methods.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}