{"id":"https://openalex.org/W4402979617","doi":"https://doi.org/10.1109/icme57554.2024.10687689","title":"I-Matting: Improved Trimap-Free Image Matting","display_name":"I-Matting: Improved Trimap-Free Image Matting","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979617","doi":"https://doi.org/10.1109/icme57554.2024.10687689"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5013941213","display_name":"Zichuan Liu","orcid":"https://orcid.org/0000-0002-5709-8497"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zichuan Liu","raw_affiliation_strings":["Independent Researcher"],"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360175","display_name":"Ke Wang","orcid":"https://orcid.org/0009-0008-5453-5197"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Wang","raw_affiliation_strings":["Adobe Inc"],"affiliations":[{"raw_affiliation_string":"Adobe Inc","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107246646","display_name":"Mingyuan Wu","orcid":"https://orcid.org/0009-0009-6489-0747"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyuan Wu","raw_affiliation_strings":["University of Illinois Urbana Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068559249","display_name":"Lantao Yu","orcid":"https://orcid.org/0000-0003-0569-952X"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lantao Yu","raw_affiliation_strings":["Adobe Inc"],"affiliations":[{"raw_affiliation_string":"Adobe Inc","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074224097","display_name":"Klara Nahrstedt","orcid":"https://orcid.org/0000-0001-6813-3043"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Klara Nahrstedt","raw_affiliation_strings":["University of Illinois Urbana Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076528413","display_name":"Xin L\u00fc","orcid":"https://orcid.org/0000-0003-1447-3717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Lu","raw_affiliation_strings":["Independent Researcher"],"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013941213"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54337211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9532999992370605,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9532999992370605,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6395553350448608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158897876739502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5891714692115784},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5854426026344299}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6395553350448608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158897876739502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5891714692115784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5854426026344299}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2109815552","https://openalex.org/W2520247582","https://openalex.org/W2604469346","https://openalex.org/W2891201469","https://openalex.org/W2955340181","https://openalex.org/W3034368090","https://openalex.org/W3174887243","https://openalex.org/W3191969711","https://openalex.org/W3207351435","https://openalex.org/W4205174848","https://openalex.org/W4283804702"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"matting":[1,118,143],"has":[2],"become":[3],"an":[4,50,92],"essential":[5],"functionality":[6],"of":[7,63,75,166],"image":[8],"capturing":[9],"and":[10,15,45,49,71,106],"editing":[11],"tools.":[12],"While":[13],"trimap":[14,30],"scribble-based":[16],"techniques":[17],"have":[18],"shown":[19],"notable":[20],"success":[21],"in":[22,170],"these":[23,56],"applications,":[24],"generating":[25],"high-quality":[26],"alpha":[27],"mattes":[28],"without":[29,128,149],"inputs":[31],"remains":[32],"challenging.":[33],"Existing":[34],"trimap-free":[35,94],"methods":[36],"divide":[37],"the":[38,61,64,73,76,117,121,126,130,142,151,155,164,171],"task":[39],"into":[40],"coarse":[41,65],"semantic":[42,82,101,127,152],"mask":[43,66],"prediction":[44],"detailed":[46,77],"matte":[47,78,131],"prediction,":[48],"optimization":[51,62,74],"is":[52,138,161],"formulated":[53],"by":[54,145,159],"balancing":[55],"two":[57,113],"tasks.":[58],"However,":[59],"emphasizing":[60,72],"leads":[67,79],"to":[68,80,115,140],"inaccurate":[69],"matte,":[70],"degraded":[81],"integrity":[83],"or":[84],"background":[85,104],"artifacts.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90,111],"propose":[91],"improved":[93],"training":[95],"strategy":[96],"(I-Matting)":[97],"that":[98,176],"effectively":[99],"ensures":[100],"integrity,":[102],"removes":[103],"artifacts,":[105],"improves":[107],"local":[108],"details.":[109],"First,":[110],"introduce":[112],"discriminators":[114],"distinguish":[116],"outputs":[119],"versus":[120],"ground":[122],"truths,":[123],"which":[124],"boosts":[125],"hurting":[129,150],"prediction.":[132],"Second,":[133],"a":[134],"novel":[135],"patch-rank":[136],"module":[137],"proposed":[139],"improve":[141],"accuracy":[144,156],"leveraging":[146],"high-resolution":[147],"inputs,":[148],"integrity.":[153],"Meanwhile,":[154],"gain":[157],"produced":[158],"I-Matting":[160],"not":[162],"at":[163],"expense":[165],"any":[167],"additional":[168],"cost":[169],"inference.":[172],"Extensive":[173],"experiments":[174],"show":[175],"our":[177],"method":[178],"significantly":[179],"outperforms":[180],"existing":[181],"approaches.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
