{"id":"https://openalex.org/W4389474699","doi":"https://doi.org/10.1109/mmsp59012.2023.10337667","title":"Predicting the Invariance Behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining","display_name":"Predicting the Invariance Behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474699","doi":"https://doi.org/10.1109/mmsp59012.2023.10337667"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337667","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","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/A5108884252","display_name":"Zhimo Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhimo Yan","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101890241","display_name":"Jinfeng Xu","orcid":"https://orcid.org/0000-0001-9731-1363"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058961552","display_name":"Hengyang He","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyang He","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102899011","display_name":"Shengxi Li","orcid":"https://orcid.org/0000-0003-4979-9290"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxi Li","raw_affiliation_strings":["Beihang University,Beijing,China","Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113066229","display_name":"Ren Gang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Yang","raw_affiliation_strings":["SenseTime Research,Beijing,China","SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research,Beijing,China","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["Beihang University,Beijing,China","Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108884252"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16596636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.812720775604248},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.797014594078064},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.7139487862586975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5495449900627136},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.5304669141769409},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48021063208580017},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.47832441329956055},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45946288108825684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4532843232154846},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4477269947528839},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4144747853279114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37528181076049805},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35109901428222656},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33428841829299927},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20694229006767273},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10914668440818787},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07756495475769043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812720775604248},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.797014594078064},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.7139487862586975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5495449900627136},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.5304669141769409},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48021063208580017},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.47832441329956055},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45946288108825684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4532843232154846},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4477269947528839},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4144747853279114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37528181076049805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35109901428222656},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33428841829299927},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20694229006767273},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10914668440818787},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07756495475769043},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp59012.2023.10337667","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1834627138","https://openalex.org/W1981276685","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W3026885507","https://openalex.org/W3094954720","https://openalex.org/W3176913662","https://openalex.org/W3201739204","https://openalex.org/W3204971388","https://openalex.org/W3217427959","https://openalex.org/W4220950216","https://openalex.org/W4224306633","https://openalex.org/W4225744337","https://openalex.org/W4226372514","https://openalex.org/W4285124635","https://openalex.org/W4286976841","https://openalex.org/W4294643831","https://openalex.org/W4301206121","https://openalex.org/W4312984277","https://openalex.org/W6631190155","https://openalex.org/W6751862702","https://openalex.org/W6765779288","https://openalex.org/W6779493818","https://openalex.org/W6790250994"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W4224231624","https://openalex.org/W2332512904","https://openalex.org/W2319626700"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1,91],"network":[2],"(GAN)":[3],"inversion":[4,30,65],"has":[5],"been":[6],"serving":[7],"as":[8,97],"the":[9,13,22,35,41,49,72,77,80,101,104,124,131,139,143,157,165,170],"vehicle":[10],"to":[11,47,98],"enable":[12],"restoration":[14,120],"of":[15,82,106,127,150,173],"real-world":[16,83],"images":[17,44],"by":[18,109,141],"GANs,":[19,107],"rather":[20],"than":[21],"realistic":[23],"generation":[24],"from":[25,34],"random":[26],"noise.":[27],"Existing":[28],"GAN":[29,64,94],"methods,":[31],"however,":[32],"suffer":[33],"fidelity-editability":[36],"trade-off,":[37],"which":[38,67,152],"mainly":[39],"invert":[40],"semantics":[42,81],"within":[43],"and":[45,70,121,147,179],"fail":[46],"reconstruct":[48],"details.":[50],"To":[51],"address":[52],"this":[53],"issue,":[54],"we":[55,87],"propose":[56],"a":[57,110,163],"novel":[58],"adaptive":[59],"detail":[60],"compensation":[61],"method":[62,136],"for":[63,114,159],"(ADC-GInv),":[66],"automatically":[68],"locates":[69,138],"restores":[71],"non-semantic":[73,132],"details,":[74,133],"whilst":[75],"maintaining":[76],"editability":[78,122,180],"on":[79,123,176],"images.":[84,128],"More":[85],"specifically,":[86],"first":[88],"develop":[89],"an":[90],"reciprocal":[92],"learning":[93],"(ARL-GAN)":[95],"so":[96],"seamlessly":[99],"optimise":[100],"reconstruction":[102],"during":[103,181],"training":[105],"followed":[108],"sophisticated":[111],"fine-tuning":[112],"technique":[113],"ARL-GAN":[115],"inversion.":[116,182],"This":[117],"ensures":[118],"superior":[119,171],"semantic":[125],"cues":[126],"Then,":[129],"regarding":[130],"our":[134,174],"ADC-GInv":[135],"adaptively":[137],"details":[140],"predicting":[142],"invariance":[144],"given":[145],"edited":[146],"non-edited":[148],"residuals":[149],"restoration,":[151],"are":[153],"then":[154],"compensated":[155],"at":[156],"pixel-level":[158],"high":[160],"fidelity.":[161],"As":[162],"consequence,":[164],"experimental":[166],"results":[167],"have":[168],"verified":[169],"performance":[172],"ADC-GInv,":[175],"both":[177],"fidelity":[178]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}