{"id":"https://openalex.org/W4400230185","doi":"https://doi.org/10.1109/iscas58744.2024.10558531","title":"Axial Attention Transformer for Fast High-quality Image Style Transfer","display_name":"Axial Attention Transformer for Fast High-quality Image Style Transfer","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230185","doi":"https://doi.org/10.1109/iscas58744.2024.10558531"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100385830","display_name":"Yu\u2010xin Liu","orcid":"https://orcid.org/0000-0002-5815-8244"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxin Liu","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,P.R.China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,P.R.China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102128030","display_name":"Wenxin Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Yu","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,P.R.China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,P.R.China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019348755","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2408-366X"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,P.R.China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,P.R.China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600052","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-4398-4420"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,P.R.China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,P.R.China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100530033","display_name":"Lu Che","orcid":null},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Che","raw_affiliation_strings":["Southwest University of Science and Technology,Mianyang,P.R.China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,Mianyang,P.R.China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100385830"],"corresponding_institution_ids":["https://openalex.org/I1297991670"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7183553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9606999754905701,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9606999754905701,"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":0.954200029373169,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9236999750137329,"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/transformer","display_name":"Transformer","score":0.6251715421676636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5261195302009583},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4769496023654938},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3216012716293335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2946159839630127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27187955379486084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16708192229270935},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08815610408782959}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6251715421676636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5261195302009583},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4769496023654938},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3216012716293335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2946159839630127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27187955379486084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16708192229270935},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08815610408782959}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2125879936","https://openalex.org/W2275363859","https://openalex.org/W2339754110","https://openalex.org/W2475287302","https://openalex.org/W2572730214","https://openalex.org/W2592533706","https://openalex.org/W2603777577","https://openalex.org/W2604737827","https://openalex.org/W2772066085","https://openalex.org/W2798722152","https://openalex.org/W2962793481","https://openalex.org/W2963767194","https://openalex.org/W2969803502","https://openalex.org/W2998108143","https://openalex.org/W3138516171","https://openalex.org/W3175433303","https://openalex.org/W3177457352","https://openalex.org/W4312238440","https://openalex.org/W4312546057","https://openalex.org/W4313029666","https://openalex.org/W4385245566","https://openalex.org/W4386065831","https://openalex.org/W4386071613","https://openalex.org/W6685352114","https://openalex.org/W6697028695","https://openalex.org/W6735957806","https://openalex.org/W6745560452","https://openalex.org/W6755207826","https://openalex.org/W6758142056","https://openalex.org/W6772381481","https://openalex.org/W6772853553","https://openalex.org/W6780226713","https://openalex.org/W6795892075","https://openalex.org/W6797790494"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W2864363823"],"abstract_inverted_index":{"Image":[0],"style":[1,13,39,92,105,114],"transfer":[2,40,93],"aims":[3],"to":[4,17,34,43,57,62,112,124,133],"blend":[5],"the":[6,12,18,50,126,135,142],"content":[7,103],"of":[8,14,20,53],"one":[9],"image":[10,38,91,158],"with":[11,108,168],"another.":[15],"Due":[16],"limitation":[19],"traditional":[21],"Convolutional":[22],"Neural":[23],"Network":[24],"(CNN)":[25],"methods":[26,154],"in":[27],"capturing":[28],"global":[29],"information,":[30],"researchers":[31],"have":[32],"turned":[33],"vision":[35,54,89],"transformers":[36,55],"for":[37],"tasks,":[41],"aiming":[42],"achieve":[44],"a":[45,87,109,121,138],"broader":[46],"receptive":[47],"field.":[48],"However,":[49],"large":[51],"computations":[52],"lead":[56],"longer":[58],"inference":[59,143],"time":[60],"compared":[61,167],"many":[63],"conventional":[64],"CNN-based":[65],"methods,":[66],"thereby":[67],"constraining":[68],"their":[69],"practical":[70],"application.":[71],"To":[72],"tackle":[73],"this":[74],"challenge,":[75],"we":[76,119,140],"propose":[77],"an":[78,130],"axial":[79],"attention":[80],"transformer":[81,90,110],"encoder":[82],"named":[83],"AATE":[84],"and":[85,104,115,129,161],"design":[86],"fast":[88],"model.":[94],"Our":[95],"model":[96],"encompasses":[97],"two":[98],"AATEs":[99],"that":[100],"individually":[101],"process":[102],"images,":[106],"along":[107],"decoder":[111],"amalgamate":[113],"content.":[116],"In":[117],"addition,":[118],"use":[120],"downsample":[122],"module":[123,132],"preprocess":[125],"network":[127],"inputs":[128],"upsample":[131],"refine":[134],"output.":[136],"As":[137],"result,":[139],"improve":[141],"speed":[144],"about":[145],"5":[146],"times":[147],"faster":[148],"than":[149],"current":[150],"state-of-the-art":[151],"(SOTA)":[152],"transformerbased":[153],"while":[155],"achieving":[156],"excellent":[157],"quality.":[159],"Qualitative":[160],"quantitative":[162],"experiments":[163],"show":[164],"competitive":[165],"results":[166],"advanced":[169],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}