{"id":"https://openalex.org/W3094318921","doi":"https://doi.org/10.1109/mlsp49062.2020.9231828","title":"Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works?","display_name":"Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works?","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3094318921","doi":"https://doi.org/10.1109/mlsp49062.2020.9231828","mag":"3094318921"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp49062.2020.9231828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp49062.2020.9231828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5078050634","display_name":"Vincent Mauduit","orcid":null},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"V. Mauduit","raw_affiliation_strings":["Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050643672","display_name":"Patrice Abry","orcid":"https://orcid.org/0000-0002-7096-8290"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Abry","raw_affiliation_strings":["Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046389600","display_name":"Roberto Leonarduzzi","orcid":"https://orcid.org/0000-0003-3903-2416"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Leonarduzzi","raw_affiliation_strings":["ENS, PSL, Paris, France"],"affiliations":[{"raw_affiliation_string":"ENS, PSL, Paris, France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695040","display_name":"St\u00e9phane G. Roux","orcid":"https://orcid.org/0000-0001-8561-1270"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. G. Roux","raw_affiliation_strings":["Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080144790","display_name":"Emmanuel Qu\u00e9mener","orcid":null},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Quemener","raw_affiliation_strings":["Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078050634"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6246387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"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":0.9829999804496765,"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":0.9829999804496765,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.965499997138977,"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":0.9474999904632568,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7478793263435364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744950532913208},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7388166189193726},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7113878130912781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6366774439811707},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5593074560165405},{"id":"https://openalex.org/keywords/multifractal-system","display_name":"Multifractal system","score":0.5276785492897034},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49410250782966614},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47642430663108826},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4421467185020447},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4273705780506134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3764559030532837},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3595734238624573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16047969460487366},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.06605049967765808}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7478793263435364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744950532913208},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7388166189193726},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7113878130912781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6366774439811707},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5593074560165405},{"id":"https://openalex.org/C133905733","wikidata":"https://www.wikidata.org/wiki/Q2629238","display_name":"Multifractal system","level":3,"score":0.5276785492897034},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49410250782966614},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47642430663108826},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4421467185020447},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4273705780506134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3764559030532837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3595734238624573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16047969460487366},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.06605049967765808},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp49062.2020.9231828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp49062.2020.9231828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1885000897","https://openalex.org/W2013630111","https://openalex.org/W2034769681","https://openalex.org/W2062099911","https://openalex.org/W2064562192","https://openalex.org/W2082212568","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2127007253","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2295130376","https://openalex.org/W2324628870","https://openalex.org/W2557969682","https://openalex.org/W2800721376","https://openalex.org/W2801495938","https://openalex.org/W2893749619","https://openalex.org/W2952716587","https://openalex.org/W2962719787","https://openalex.org/W2963234238","https://openalex.org/W2963373786","https://openalex.org/W2963439970","https://openalex.org/W2963684088","https://openalex.org/W2963981733","https://openalex.org/W2964193438","https://openalex.org/W2964208788","https://openalex.org/W3004178265","https://openalex.org/W3033744326","https://openalex.org/W3035574324","https://openalex.org/W3098420962","https://openalex.org/W4294408369","https://openalex.org/W4295109005","https://openalex.org/W4297749385","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6683590716","https://openalex.org/W6684191040","https://openalex.org/W6697028695","https://openalex.org/W6701025434","https://openalex.org/W6718379498","https://openalex.org/W6737834682","https://openalex.org/W6748772639","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W1639315488","https://openalex.org/W2056486084","https://openalex.org/W4382488079","https://openalex.org/W2042397562","https://openalex.org/W2356714366","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1977404842"],"abstract_inverted_index":{"Deep":[0,40,78],"Learning":[1],"is":[2,96],"nowadays":[3],"widely":[4],"used":[5,17],"for":[6,18,31,63],"several":[7],"tasks":[8],"in":[9,52],"image":[10,19],"processing.":[11],"Notably,":[12],"it":[13],"has":[14],"been":[15],"massively":[16],"synthesis,":[20],"mostly":[21],"however":[22],"with":[23],"strong":[24],"geometrical":[25],"contents.":[26],"Focused":[27],"on":[28,39,98,106,115,129],"a":[29,53],"race":[30],"better":[32],"performance":[33],"via":[34],"more":[35],"complex":[36],"architectures,":[37],"research":[38],"Learning,":[41],"however,":[42],"left":[43],"behind":[44],"the":[45,56,59,64,75,100,103,108,111,117],"critical":[46],"issue":[47],"of":[48,58,66,77,102,110,119,123],"assessing":[49,107],"quantitatively":[50],"and":[51,114,122],"reproducible":[54],"manner":[55],"quality":[57,101],"synthesized":[60,104],"images,":[61],"notably":[62],"case":[65],"pure":[67],"textures.":[68],"The":[69,94],"present":[70],"work":[71],"aims":[72],"to":[73,83],"study":[74],"ability":[76],"Convolutional":[79],"Generative":[80],"Adversarial":[81],"Networks":[82],"synthesize":[84],"multivariate":[85,91],"textures":[86],"characterized":[87],"by":[88],"rich":[89],"multiscale":[90],"statistics":[92],"(multifractals).":[93],"focus":[95],"thus":[97],"quantifying":[99],"textures,":[105],"reproducibility":[109],"learning":[112],"procedure":[113],"studying":[116],"impact":[118],"loss":[120],"functions":[121],"training":[124],"dataset":[125],"sizes,":[126],"rather":[127],"than":[128],"proposing":[130],"yet":[131],"another":[132],"architecture.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}