{"id":"https://openalex.org/W4389539712","doi":"https://doi.org/10.1145/3610548.3618208","title":"Anything to Glyph: Artistic Font Synthesis via Text-to-Image Diffusion Model","display_name":"Anything to Glyph: Artistic Font Synthesis via Text-to-Image Diffusion Model","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4389539712","doi":"https://doi.org/10.1145/3610548.3618208"},"language":"en","primary_location":{"id":"doi:10.1145/3610548.3618208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610548.3618208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Conference Papers","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/A5039327013","display_name":"Changshuo Wang","orcid":"https://orcid.org/0000-0002-9970-191X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changshuo Wang","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068636370","display_name":"Lei Wu","orcid":"https://orcid.org/0000-0002-3872-9062"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wu","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106033870","display_name":"Xiaole Liu","orcid":"https://orcid.org/0009-0006-3605-8206"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaole Liu","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005164","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-3828-9834"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629169","display_name":"Lei Meng","orcid":"https://orcid.org/0000-0002-0273-5946"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Meng","raw_affiliation_strings":["Shandong Research Institute of Industrial Technology, China and Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong Research Institute of Industrial Technology, China and Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101536417","display_name":"Xiangxu Meng","orcid":"https://orcid.org/0000-0001-7290-5659"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxu Meng","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039327013"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.9629,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78274401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T12290","display_name":"Human Motion and Animation","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/glyph","display_name":"Glyph (data visualization)","score":0.8632617592811584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8244884014129639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6678467988967896},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.6418359279632568},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.6389796137809753},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6255911588668823},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5411396026611328},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5014021396636963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49380549788475037},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4375725984573364},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4306904673576355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4132424294948578},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.19997864961624146}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8632617592811584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8244884014129639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6678467988967896},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.6418359279632568},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.6389796137809753},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6255911588668823},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5411396026611328},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5014021396636963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49380549788475037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4375725984573364},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4306904673576355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4132424294948578},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.19997864961624146},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3610548.3618208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610548.3618208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2752796333","https://openalex.org/W2775226934","https://openalex.org/W2905469793","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963800363","https://openalex.org/W2983541695","https://openalex.org/W2985840885","https://openalex.org/W3034839660","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3098808043","https://openalex.org/W3125063057","https://openalex.org/W3135367836","https://openalex.org/W3179392408","https://openalex.org/W3180355996","https://openalex.org/W3191805365","https://openalex.org/W3196443865","https://openalex.org/W3211133823","https://openalex.org/W3212516020","https://openalex.org/W3216352822","https://openalex.org/W4281661987","https://openalex.org/W4293518926","https://openalex.org/W4300424419","https://openalex.org/W4312933868","https://openalex.org/W4385537492","https://openalex.org/W4385764480","https://openalex.org/W4386076027","https://openalex.org/W4386159195","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W2147687867","https://openalex.org/W2582695981","https://openalex.org/W2496907786","https://openalex.org/W2483185727","https://openalex.org/W1616840082","https://openalex.org/W4320561754","https://openalex.org/W4386270415","https://openalex.org/W2511147166","https://openalex.org/W2186085225","https://openalex.org/W4389539712"],"abstract_inverted_index":{"The":[0,207],"automatic":[1],"generation":[2],"of":[3,33,95,112,162,218],"artistic":[4,66,91],"fonts":[5,31,40,67],"is":[6,138],"a":[7,45,60,69,77,81,101,159],"challenging":[8],"task":[9],"that":[10,128,141,175,210],"attracts":[11],"many":[12],"research":[13],"interests.":[14],"Previous":[15],"methods":[16,49,202,215],"specifically":[17],"focus":[18],"on":[19],"glyph":[20,92],"or":[21,37],"texture":[22],"style":[23],"transfer.":[24],"However,":[25],"we":[26,99,119],"often":[27],"come":[28],"across":[29],"creative":[30,65],"composed":[32],"objects":[34,113],"in":[35,114,140,216],"posters":[36],"logos.":[38],"These":[39],"have":[41],"proven":[42],"to":[43,53,108],"be":[44],"challenge":[46],"for":[47,63,203],"existing":[48],"as":[50,86],"they":[51],"struggle":[52],"generate":[54,179],"similar":[55],"designs.":[56],"This":[57],"paper":[58],"proposes":[59],"novel":[61,102],"method":[62,107,156,177],"generating":[64],"using":[68,188],"pre-trained":[70],"text-to-image":[71],"diffusion":[72,205],"model.":[73,206],"Our":[74,136],"model":[75],"takes":[76],"shape":[78,148],"image":[79,93],"and":[80,88,118,186,195,222],"prompt":[82],"describing":[83],"an":[84,90,167],"object":[85,134],"input":[87],"generates":[89],"consisting":[94],"such":[96],"objects.":[97,190],"Specifically,":[98],"introduce":[100],"heatmap-based":[103],"weak":[104],"position":[105,200],"constraint":[106],"guide":[109],"the":[110,115,122,145,204],"positioning":[111],"generated":[116,163],"image,":[117],"also":[120,192],"propose":[121],"Latent":[123],"Space":[124],"Semantic":[125],"Augmentation":[126],"Module":[127],"improves":[129],"other":[130,214],"information":[131],"while":[132,149],"constraining":[133,150],"position.":[135,152],"approach":[137,212],"unique":[139],"it":[142,166],"can":[143,178],"preserve":[144],"object\u2019s":[146],"original":[147],"its":[151],"And":[153],"our":[154,176,211],"training":[155],"requires":[157],"only":[158],"small":[160],"quantity":[161],"data,":[164],"making":[165],"efficient":[168],"unsupervised":[169],"learning":[170],"approach.":[171],"Experimental":[172],"results":[173,208],"demonstrate":[174],"various":[180,199],"glyphs,":[181],"including":[182],"Chinese,":[183],"English,":[184],"Japanese,":[185],"symbols,":[187],"different":[189],"We":[191],"conducted":[193],"qualitative":[194],"quantitative":[196],"comparisons":[197],"with":[198],"control":[201],"indicate":[209],"outperforms":[213],"terms":[217],"visual":[219],"quality,":[220],"innovation,":[221],"user":[223],"evaluation.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}