{"id":"https://openalex.org/W4399487418","doi":"https://doi.org/10.1145/3649476.3658770","title":"ControLayout: Conditional Diffusion for Style-Controllable and Violation-Fixable Layout Pattern Generation","display_name":"ControLayout: Conditional Diffusion for Style-Controllable and Violation-Fixable Layout Pattern Generation","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399487418","doi":"https://doi.org/10.1145/3649476.3658770"},"language":"en","primary_location":{"id":"doi:10.1145/3649476.3658770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649476.3658770","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3649476.3658770","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014225381","display_name":"Qijing Wang","orcid":"https://orcid.org/0000-0003-1603-6211"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Qijing Wang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-1603-6211","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063116693","display_name":"Xiaopeng Zhang","orcid":"https://orcid.org/0000-0002-8076-7185"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaopeng Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8076-7185","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053378706","display_name":"Martin D. F. Wong","orcid":"https://orcid.org/0000-0001-8274-9688"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Martin D.F. Wong","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8274-9688","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070795253","display_name":"Evangeline F. Y. Young","orcid":"https://orcid.org/0000-0003-0623-1590"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Evangeline F.Y. Young","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-0623-1590","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014225381"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48026123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"511","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9966999888420105,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9966999888420105,"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":0.9814000129699707,"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":0.9664000272750854,"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","display_name":"Diffusion","score":0.5293107032775879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41781049966812134},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1332789957523346}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5293107032775879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41781049966812134},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1332789957523346},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649476.3658770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649476.3658770","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3649476.3658770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649476.3658770","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2042919159","https://openalex.org/W2332219458","https://openalex.org/W2946585760","https://openalex.org/W3007628184","https://openalex.org/W3036167779","https://openalex.org/W3111686935","https://openalex.org/W3138232274","https://openalex.org/W3212516020","https://openalex.org/W4312121035","https://openalex.org/W6779823529"],"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/W4395014643"],"abstract_inverted_index":{"Due":[0],"to":[1,14,25,29,41,70,84],"the":[2,36,72,79,100],"lengthy":[3],"design":[4],"cycle,":[5],"generating":[6],"legal,":[7],"diverse":[8],"and":[9,40,49,66,77,95],"valid":[10],"layout":[11,17,51],"patterns":[12],"artificially":[13],"expand":[15],"VLSI":[16],"pattern":[18,52,64],"libraries":[19],"has":[20],"become":[21],"an":[22],"important":[23],"problem":[24],"solve":[26],"in":[27,93],"order":[28],"facilitate":[30],"modern":[31],"design-for-manufacturability":[32],"(DFM)":[33],"studies.":[34],"Considering":[35],"more":[37],"realistic":[38],"demands":[39],"enhance":[42],"functionality,":[43],"this":[44],"work":[45],"proposes":[46],"a":[47],"style-controllable":[48],"violation-fixable":[50],"generation":[53],"framework":[54],"based":[55],"on":[56],"conditional":[57],"diffusion":[58],"models":[59],"named":[60],"ControLayout,":[61],"which":[62],"treats":[63],"category":[65],"complexity":[67],"as":[68],"conditions":[69],"control":[71],"style":[73],"of":[74,81],"generated":[75],"patterns,":[76],"leverages":[78],"idea":[80],"image":[82],"masking-inpainting":[83],"fix":[85],"violations":[86],"adaptively.":[87],"Experiments":[88],"reveal":[89],"its":[90],"promising":[91],"performance":[92],"controllability":[94],"different":[96],"metrics":[97],"compared":[98],"with":[99],"state-of-the-art":[101],"methods.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}