{"id":"https://openalex.org/W7224948670","doi":"https://doi.org/10.1109/icpeca67448.2026.11749985","title":"Leveraging Diffusion Models for Automated and Creative Digital Media Asset Generation","display_name":"Leveraging Diffusion Models for Automated and Creative Digital Media Asset Generation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7224948670","doi":"https://doi.org/10.1109/icpeca67448.2026.11749985"},"language":"en","primary_location":{"id":"doi:10.1109/icpeca67448.2026.11749985","doi":"https://doi.org/10.1109/icpeca67448.2026.11749985","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icpeca67448.2026.11749985","pdf_url":null,"source":{"id":"https://openalex.org/S4363607903","display_name":"IEEE International Conference on Power, Electronics and Computer Applications (ICPECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 6th International Conference on Power, Electronics and Computer Applications (ICPECA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icpeca67448.2026.11749985","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048057817","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0002-5250-7909","observed_orcids":["https://orcid.org/0000-0002-5250-7909"]},"institutions":[{"id":"https://openalex.org/I4405280076","display_name":"Kunyu Vocational and Technical College","ror":"https://ror.org/02dg0qv03","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280076"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Kunyu Vocational and Technical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunyu Vocational and Technical College","institution_ids":["https://openalex.org/I4405280076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048057817"],"corresponding_institution_ids":["https://openalex.org/I4405280076"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":null,"issue":null,"first_page":"167","last_page":"171"},"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":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":1.0,"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"}},{"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/diffusion-models","display_name":"diffusion models","score":0.7139999866485596},{"id":"https://openalex.org/keywords/controllable-image-generation","display_name":"controllable image generation","score":0.7049999833106995},{"id":"https://openalex.org/keywords/denoising-diffusion-probabilistic-models","display_name":"denoising diffusion probabilistic models","score":0.847000002861023},{"id":"https://openalex.org/keywords/classifier-free-guidance","display_name":"classifier-free guidance","score":0.906000018119812},{"id":"https://openalex.org/keywords/semantic-guidance","display_name":"semantic guidance","score":0.5799999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5807999968528748},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C177679114","wikidata":"https://www.wikidata.org/wiki/Q1224694","display_name":"Digital asset management","level":4,"score":0.2928999960422516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2856999933719635},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpeca67448.2026.11749985","doi":"https://doi.org/10.1109/icpeca67448.2026.11749985","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icpeca67448.2026.11749985","pdf_url":null,"source":{"id":"https://openalex.org/S4363607903","display_name":"IEEE International Conference on Power, Electronics and Computer Applications (ICPECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 6th International Conference on Power, Electronics and Computer Applications (ICPECA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icpeca67448.2026.11749985","doi":"https://doi.org/10.1109/icpeca67448.2026.11749985","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icpeca67448.2026.11749985","pdf_url":null,"source":{"id":"https://openalex.org/S4363607903","display_name":"IEEE International Conference on Power, Electronics and Computer Applications (ICPECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 6th International Conference on Power, Electronics and Computer Applications (ICPECA)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2564591810","https://openalex.org/W3111265567","https://openalex.org/W3161810785","https://openalex.org/W4211009375","https://openalex.org/W4281484041","https://openalex.org/W4377232670"],"related_works":["https://openalex.org/W7160053414","https://openalex.org/W7203677798","https://openalex.org/W4413165998","https://openalex.org/W7134121170","https://openalex.org/W7165681912","https://openalex.org/W7164164983","https://openalex.org/W4378372988","https://openalex.org/W7135053613","https://openalex.org/W7220389030","https://openalex.org/W7224840172"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"the":[3,26],"Creative":[4],"Constrained":[5],"Diffusion":[6,29],"Model":[7,31],"(CCDM),":[8],"a":[9,34,53,58,116],"novel":[10],"diffusion-based":[11],"generative":[12],"framework":[13],"designed":[14],"to":[15,66],"achieve":[16],"high-fidelity":[17],"image":[18],"synthesis":[19],"under":[20],"multi-level":[21],"creative":[22],"constraints.":[23],"CCDM":[24,93,114],"extends":[25],"standard":[27],"Denoising":[28],"Probabilistic":[30],"by":[32],"introducing":[33],"Multi-Fidelity":[35],"Context":[36],"Encoding":[37],"(MFCE)":[38],"mechanism,":[39],"which":[40],"injects":[41],"high-level":[42],"semantic":[43,105],"guidance,":[44],"mid-level":[45],"quantitative":[46],"constraints,":[47],"and":[48,79,109,118],"low-level":[49],"spatial":[50],"structures":[51],"in":[52,100],"coordinated":[54],"manner.":[55],"In":[56],"addition,":[57],"Constraint-Aware":[59],"Classifier-Free":[60],"Guidance":[61],"(CA-CFG)":[62],"strategy":[63],"is":[64],"proposed":[65],"dynamically":[67],"adjust":[68],"guidance":[69],"strength":[70],"based":[71],"on":[72,88],"estimated":[73],"constraint":[74,107],"adherence,":[75],"effectively":[76],"balancing":[77],"controllability":[78],"visual":[80],"quality":[81],"while":[82],"reducing":[83],"over-guidance":[84],"artifacts.":[85],"Extensive":[86],"experiments":[87],"multiple":[89],"datasets":[90],"demonstrate":[91],"that":[92],"significantly":[94],"outperforms":[95],"existing":[96],"controllable":[97],"diffusion":[98],"methods":[99],"terms":[101],"of":[102],"generation":[103],"quality,":[104],"alignment,":[106],"satisfaction,":[108],"robustness.":[110],"The":[111],"results":[112],"validate":[113],"as":[115],"practical":[117],"scalable":[119],"solution":[120],"for":[121],"automated,":[122],"high-precision":[123],"digital":[124],"media":[125],"asset":[126],"generation.":[127]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-31T00:00:00"}
