{"id":"https://openalex.org/W7204111480","doi":"https://doi.org/10.7716/aem.v15i3.4228","title":"Colour Style Generation for Digital Images: A Controllable Diffusion Model with Semantic Segmentation Constraints","display_name":"Colour Style Generation for Digital Images: A Controllable Diffusion Model with Semantic Segmentation Constraints","publication_year":2026,"publication_date":"2026-08-21","ids":{"openalex":"https://openalex.org/W7204111480","doi":"https://doi.org/10.7716/aem.v15i3.4228"},"language":"en","primary_location":{"id":"doi:10.7716/aem.v15i3.4228","doi":"https://doi.org/10.7716/aem.v15i3.4228","is_oa":true,"landing_page_url":"https://doi.org/10.7716/aem.v15i3.4228","pdf_url":null,"source":{"id":"https://openalex.org/S4210227937","display_name":"Advanced Electromagnetics","issn_l":"2119-0275","issn":["2119-0275"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","ddh","dongbi-c","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311132","host_organization_name":"Advanced Electromagnetics","host_organization_lineage":["https://openalex.org/P4310311132"],"host_organization_lineage_names":["Advanced Electromagnetics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Electromagnetics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.7716/aem.v15i3.4228","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090557057","display_name":"Y. Q. Chen","orcid":"https://orcid.org/0000-0002-8293-0417","observed_orcids":["https://orcid.org/0000-0002-8293-0417"]},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Q. Chen","raw_affiliation_strings":["Weifang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weifang University","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148017510","display_name":"H. L. Du","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. L. Du","raw_affiliation_strings":["Weifang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weifang University","institution_ids":["https://openalex.org/I66883779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66883779"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"3","first_page":"10256","last_page":"10263"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0007999999797903001,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/latent-diffusion-models","display_name":"latent diffusion models","score":0.6539999842643738},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.3440000116825104},{"id":"https://openalex.org/keywords/cielab-color-space","display_name":"CIELAB color space","score":0.8059999942779541},{"id":"https://openalex.org/keywords/cross-attention","display_name":"cross-attention","score":0.7289999723434448}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.656499981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6521999835968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255000233650208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5716999769210815},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5170999765396118},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5044999718666077},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7716/aem.v15i3.4228","doi":"https://doi.org/10.7716/aem.v15i3.4228","is_oa":true,"landing_page_url":"https://doi.org/10.7716/aem.v15i3.4228","pdf_url":null,"source":{"id":"https://openalex.org/S4210227937","display_name":"Advanced Electromagnetics","issn_l":"2119-0275","issn":["2119-0275"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","ddh","dongbi-c","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311132","host_organization_name":"Advanced Electromagnetics","host_organization_lineage":["https://openalex.org/P4310311132"],"host_organization_lineage_names":["Advanced Electromagnetics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Electromagnetics","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aemjournal.org:article/4228","doi":null,"is_oa":true,"landing_page_url":"https://www.aemjournal.org/index.php/AEM/article/view/4228","pdf_url":"https://www.aemjournal.org/index.php/AEM/article/download/4228/1881","source":{"id":"https://openalex.org/S4210227937","display_name":"Advanced Electromagnetics","issn_l":"2119-0275","issn":["2119-0275"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","ddh","dongbi-c","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311132","host_organization_name":"Advanced Electromagnetics","host_organization_lineage":["https://openalex.org/P4310311132"],"host_organization_lineage_names":["Advanced Electromagnetics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2119-0275","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.7716/aem.v15i3.4228","doi":"https://doi.org/10.7716/aem.v15i3.4228","is_oa":true,"landing_page_url":"https://doi.org/10.7716/aem.v15i3.4228","pdf_url":null,"source":{"id":"https://openalex.org/S4210227937","display_name":"Advanced Electromagnetics","issn_l":"2119-0275","issn":["2119-0275"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","ddh","dongbi-c","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310311132","host_organization_name":"Advanced Electromagnetics","host_organization_lineage":["https://openalex.org/P4310311132"],"host_organization_lineage_names":["Advanced Electromagnetics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Electromagnetics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204111480.pdf","grobid_xml":"https://content.openalex.org/works/W7204111480.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W4300979859","https://openalex.org/W4318203092"],"related_works":["https://openalex.org/W7139917005","https://openalex.org/W7203449204","https://openalex.org/W7204257131","https://openalex.org/W7213445742","https://openalex.org/W4414360070","https://openalex.org/W7128439545","https://openalex.org/W7214182113","https://openalex.org/W4399999359","https://openalex.org/W4394625804","https://openalex.org/W4417337172"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"generation":[2,152],"techniques":[3],"are":[4,75],"increasingly":[5],"reshaping":[6],"digital":[7],"image":[8],"colour":[9,33,41,59,73,127],"editing":[10],"by":[11],"enabling":[12],"flexible":[13],"and":[14,35,68,88,96,126,144,156,167],"controllable":[15,19],"style":[16,61,93,145],"reconstruction.":[17],"A":[18],"diffusion":[20,47,80],"model":[21,50,103],"with":[22,118],"semantic":[23,30,52,154],"segmentation":[24],"constraints":[25,74],"is":[26],"proposed":[27,102],"to":[28,81,124,133,138,148],"address":[29],"mismatch,":[31],"boundary":[32,140,168],"bleeding,":[34],"insufficient":[36],"regional":[37,55],"control":[38],"in":[39],"global":[40],"grading.":[42],"Built":[43],"on":[44],"a":[45],"latent":[46],"framework,":[48],"the":[49,101],"integrates":[51],"segmentation,":[53,164],"multi-scale":[54],"feature":[56],"encoding,":[57],"Lab-space":[58],"statistics,":[60],"condition":[62],"embedding,":[63,165],"cross-attention":[64],"injection,":[65],"semantic-mask-guided":[66],"denoising,":[67],"multi-objective":[69],"consistency":[70],"optimisation.":[71],"Region-specific":[72],"dynamically":[76],"introduced":[77],"during":[78],"reverse":[79],"preserve":[82],"object":[83],"structure,":[84],"coordinate":[85],"local":[86],"tones,":[87],"support":[89],"continuous":[90],"adjustment":[91],"of":[92,107],"intensity,":[94],"hue,":[95],"saturation.":[97],"Experiments":[98],"show":[99],"that":[100],"achieves":[104],"an":[105],"FID":[106],"23.7,":[108],"19.4%":[109],"lower":[110],"than":[111],"ControlNet,":[112,119],"while":[113],"SSIM":[114],"reaches":[115,142],"0.891.":[116],"Compared":[117],"LPIPS":[120],"decreases":[121],"from":[122,131,163],"0.171":[123],"0.142":[125],"error":[128],"\u2206E":[129],"drops":[130],"8.2":[132],"6.8.":[134],"Semantic":[135],"mIoU":[136],"increases":[137],"82.6%,":[139],"F1":[141],"87.4%,":[143],"similarity":[146],"improves":[147],"0.913,":[149],"confirming":[150],"superior":[151],"quality,":[153],"preservation,":[155],"controllability.":[157],"Ablation":[158],"results":[159],"verify":[160],"complementary":[161],"contributions":[162],"consistency,":[166],"smoothing.":[169]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-08-25T00:00:00"}