{"id":"https://openalex.org/W4386071545","doi":"https://doi.org/10.1109/cvpr52729.2023.02135","title":"Robust Unsupervised StyleGAN Image Restoration","display_name":"Robust Unsupervised StyleGAN Image Restoration","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386071545","doi":"https://doi.org/10.1109/cvpr52729.2023.02135"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.02135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.02135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5079078257","display_name":"Yohan Poirier\u2010Ginter","orcid":"https://orcid.org/0009-0001-5806-5136"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yohan Poirier-Ginter","raw_affiliation_strings":["Université Laval"],"affiliations":[{"raw_affiliation_string":"Université Laval","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034761030","display_name":"Jean\u2010Fran\u00e7ois Lalonde","orcid":"https://orcid.org/0000-0002-6583-2364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Fran\u00e7ois Lalonde","raw_affiliation_strings":["Université Laval"],"affiliations":[{"raw_affiliation_string":"Université Laval","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079078257"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4597,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9108466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"22292","last_page":"22301"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"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/image-restoration","display_name":"Image restoration","score":0.7294728755950928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6982681751251221},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.641324520111084},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5833702683448792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5622551441192627},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5498644113540649},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4665408134460449},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.44052591919898987},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42358842492103577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41524454951286316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3460178077220917},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19750580191612244}],"concepts":[{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7294728755950928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982681751251221},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.641324520111084},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5833702683448792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5622551441192627},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5498644113540649},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4665408134460449},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.44052591919898987},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42358842492103577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41524454951286316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3460178077220917},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19750580191612244},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.02135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.02135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2023865217","display_name":null,"funder_award_id":"RGPIN-2020-04799","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W1522301498","https://openalex.org/W2129069237","https://openalex.org/W2516604595","https://openalex.org/W2947272707","https://openalex.org/W2952716587","https://openalex.org/W2956015785","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2969985801","https://openalex.org/W2980441643","https://openalex.org/W2985068832","https://openalex.org/W2992838650","https://openalex.org/W2998280611","https://openalex.org/W3013170474","https://openalex.org/W3013529009","https://openalex.org/W3014852036","https://openalex.org/W3034352949","https://openalex.org/W3034600949","https://openalex.org/W3034720584","https://openalex.org/W3035048074","https://openalex.org/W3035355202","https://openalex.org/W3035570181","https://openalex.org/W3035574324","https://openalex.org/W3100456687","https://openalex.org/W3105938520","https://openalex.org/W3106758205","https://openalex.org/W3107803166","https://openalex.org/W3111141257","https://openalex.org/W3133191702","https://openalex.org/W3162926177","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3173102319","https://openalex.org/W3174807077","https://openalex.org/W3180391059","https://openalex.org/W3201878193","https://openalex.org/W3204491849","https://openalex.org/W3207381446","https://openalex.org/W3207918547","https://openalex.org/W3212516020","https://openalex.org/W4206760661","https://openalex.org/W4214926101","https://openalex.org/W4224035735","https://openalex.org/W4225759859","https://openalex.org/W4280574101","https://openalex.org/W4281485151","https://openalex.org/W4283460767","https://openalex.org/W4285124635","https://openalex.org/W4285981784","https://openalex.org/W4286588339","https://openalex.org/W4287555562","https://openalex.org/W4287817254","https://openalex.org/W4288083206","https://openalex.org/W4301028776","https://openalex.org/W4301206121","https://openalex.org/W4312400623","https://openalex.org/W4312596228","https://openalex.org/W4312678820","https://openalex.org/W4312933868","https://openalex.org/W4312971930","https://openalex.org/W4320013936","https://openalex.org/W4386076458","https://openalex.org/W6735307612","https://openalex.org/W6755312952","https://openalex.org/W6765779288","https://openalex.org/W6774563273","https://openalex.org/W6775092777","https://openalex.org/W6775648743","https://openalex.org/W6779093361","https://openalex.org/W6784825796","https://openalex.org/W6786788685","https://openalex.org/W6795288823","https://openalex.org/W6797179183","https://openalex.org/W6809940947","https://openalex.org/W6811158498","https://openalex.org/W6838754775","https://openalex.org/W6839073047"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W4242046654","https://openalex.org/W1504109132","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W3027110395","https://openalex.org/W3109174731","https://openalex.org/W4285125754","https://openalex.org/W2980422611"],"abstract_inverted_index":{"GAN-based":[0],"image":[1,33],"restoration":[2,34,114],"inverts":[3],"the":[4,60,81,126],"generative":[5],"process":[6],"to":[7,53,62,112],"repair":[8],"images":[9],"corrupted":[10],"by":[11,115],"known":[12],"degradations.":[13],"Existing":[14],"unsupervised":[15],"methods":[16],"must":[17],"be":[18],"carefully":[19],"tuned":[20],"for":[21,83],"each":[22],"task":[23],"and":[24,75,96],"degradation":[25,47],"level.":[26],"In":[27],"this":[28],"work,":[29],"we":[30],"make":[31],"StyleGAN":[32],"robust:":[35],"a":[36,43,69,76],"single":[37],"set":[38],"of":[39,46,56],"hyperparameters":[40],"works":[41],"across":[42],"wide":[44],"range":[45],"levels.":[48],"This":[49],"makes":[50],"it":[51],"possible":[52],"handle":[54],"combinations":[55],"several":[57],"degradations,":[58],"without":[59],"need":[61,82],"retune.":[63],"Our":[64,107],"proposed":[65],"approach":[66,108],"relies":[67],"on":[68,92],"3-phase":[70],"progressive":[71],"latent":[72],"space":[73],"extension":[74],"conservative":[77],"optimizer,":[78],"which":[79],"avoids":[80],"any":[84],"additional":[85],"regularization":[86],"terms.":[87],"Extensive":[88],"experiments":[89],"demonstrate":[90],"robustness":[91],"inpainting,":[93],"upsampling,":[94],"denoising,":[95],"deartifacting":[97],"at":[98,125],"varying":[99],"degradations":[100],"levels,":[101],"outperforming":[102],"other":[103],"StyleGAN-based":[104],"inversion":[105,120],"techniques.":[106],"also":[109],"favorably":[110],"compares":[111],"diffusion-based":[113],"yielding":[116],"much":[117],"more":[118],"realistic":[119],"results.":[121],"Code":[122],"is":[123],"available":[124],"above":[127],"URL.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}