{"id":"https://openalex.org/W4404525561","doi":"https://doi.org/10.1145/3687994","title":"HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution","display_name":"HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404525561","doi":"https://doi.org/10.1145/3687994"},"language":"en","primary_location":{"id":"doi:10.1145/3687994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687994","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5113920217","display_name":"Hua Li","orcid":"https://orcid.org/0009-0004-5898-8186"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Li","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063600625","display_name":"Zhouhui Lian","orcid":"https://orcid.org/0000-0002-2683-7170"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouhui Lian","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113920217"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.0526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78984081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"6","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9150000214576721,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9150000214576721,"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/font","display_name":"Font","score":0.885689914226532},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6127822399139404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5762670040130615},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5014111995697021},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4641045331954956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45311862230300903},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43095916509628296},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3235545754432678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23919332027435303},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1123567521572113},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05868816375732422}],"concepts":[{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.885689914226532},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6127822399139404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5762670040130615},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5014111995697021},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4641045331954956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45311862230300903},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43095916509628296},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3235545754432678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23919332027435303},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1123567521572113},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05868816375732422},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687994","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6747223223","display_name":null,"funder_award_id":"62372015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2069728322","https://openalex.org/W2775226934","https://openalex.org/W2904573478","https://openalex.org/W2905330967","https://openalex.org/W2963073614","https://openalex.org/W2963801463","https://openalex.org/W2985840885","https://openalex.org/W2986308530","https://openalex.org/W3015079439","https://openalex.org/W3044870283","https://openalex.org/W3096831136","https://openalex.org/W3108009117","https://openalex.org/W3149291265","https://openalex.org/W3192357270","https://openalex.org/W3205498423","https://openalex.org/W3206414762","https://openalex.org/W4200524251","https://openalex.org/W4281485151","https://openalex.org/W4281661987","https://openalex.org/W4281690218","https://openalex.org/W4281932676","https://openalex.org/W4287709159","https://openalex.org/W4312866973","https://openalex.org/W4312933868","https://openalex.org/W4313181980","https://openalex.org/W4386066434","https://openalex.org/W4386071831","https://openalex.org/W4386075655","https://openalex.org/W4386076215","https://openalex.org/W4394625831","https://openalex.org/W6600045627","https://openalex.org/W6600135713","https://openalex.org/W6600553734","https://openalex.org/W6602344735","https://openalex.org/W6838815585"],"related_works":["https://openalex.org/W2147687867","https://openalex.org/W2582695981","https://openalex.org/W2496907786","https://openalex.org/W2483185727","https://openalex.org/W2612325988","https://openalex.org/W2490611030","https://openalex.org/W3022607756","https://openalex.org/W2326471857","https://openalex.org/W2327192489","https://openalex.org/W2487016776"],"abstract_inverted_index":{"The":[0],"challenge":[1],"of":[2,15,18,97,128,218],"automatically":[3,232],"synthesizing":[4],"high-quality":[5,108,204],"vector":[6,36,109,205,216],"fonts,":[7],"particularly":[8],"for":[9,62,148,210],"writing":[10],"systems":[11],"(e.g.,":[12],"Chinese)":[13],"consisting":[14],"huge":[16],"amounts":[17],"complex":[19,63],"glyphs,":[20,37,64],"remains":[21],"unsolved.":[22],"Existing":[23],"font":[24,93,172,185,228],"synthesis":[25,94,162,186],"techniques":[26],"fall":[27],"into":[28,107,203],"two":[29],"categories:":[30],"1)":[31],"methods":[32,40],"that":[33,41,103,179,191],"directly":[34],"generate":[35],"and":[38,46,59,152,159],"2)":[39],"initially":[42],"synthesize":[43,71],"glyph":[44,79,101],"images":[45,80,102,198],"then":[47],"vectorize":[48],"them.":[49],"However,":[50],"the":[51,66,211],"first":[52,212],"category":[53],"often":[54],"fails":[55],"to":[56,69,124,132,157,177,222],"construct":[57],"complete":[58],"correct":[60],"shapes":[61],"while":[65,81],"latter":[67],"struggles":[68],"efficiently":[70,98],"high-resolution":[72,100,196],"(i.e.,":[73],"1024":[74,76],"\u00d7":[75],"or":[77],"higher)":[78],"preserving":[82],"local":[83],"details.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88],"introduce":[89],"HFH-Font,":[90],"a":[91,116,140,153,167,219],"few-shot":[92],"method":[95,114,181,193],"capable":[96],"generating":[99],"can":[104,200,230],"be":[105,201,231],"converted":[106],"glyphs.":[110],"More":[111],"specifically,":[112],"our":[113,180,192,208],"employs":[115],"diffusion":[117],"model-based":[118],"generative":[119],"framework":[120],"with":[121,170],"component-aware":[122],"conditioning":[123],"learn":[125],"different":[126],"levels":[127],"style":[129],"information":[130],"adaptable":[131],"varying":[133],"input":[134],"reference":[135],"sizes.":[136],"We":[137],"also":[138],"design":[139],"distillation":[141],"module":[142,156],"based":[143],"on":[144],"Score":[145],"Distillation":[146],"Sampling":[147],"1-step":[149],"fast":[150],"inference,":[151],"style-guided":[154],"super-resolution":[155],"refine":[158],"upscale":[160],"low-resolution":[161],"results.":[163],"Extensive":[164],"experiments,":[165],"including":[166],"user":[168],"study":[169],"professional":[171,227],"designers,":[173],"have":[174],"been":[175],"conducted":[176],"demonstrate":[178],"significantly":[182],"outperforms":[183],"existing":[184],"approaches.":[187],"Experimental":[188],"results":[189],"show":[190],"produces":[194],"high-fidelity,":[195],"raster":[197],"which":[199],"vectorized":[202],"fonts.":[206],"Using":[207],"method,":[209],"time,":[213],"large-scale":[214],"Chinese":[215],"fonts":[217],"quality":[220],"comparable":[221],"those":[223],"manually":[224],"created":[225],"by":[226],"designers":[229],"generated.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
