{"id":"https://openalex.org/W4403791288","doi":"https://doi.org/10.1145/3664647.3681506","title":"FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process","display_name":"FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791288","doi":"https://doi.org/10.1145/3664647.3681506"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5101197420","display_name":"Yang Luo","orcid":"https://orcid.org/0009-0003-0494-9643"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Luo","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101624432","display_name":"Yiheng Zhang","orcid":"https://orcid.org/0000-0002-1940-6137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiheng Zhang","raw_affiliation_strings":["HiDream.ai Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"HiDream.ai Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024833177","display_name":"Zhaofan Qiu","orcid":"https://orcid.org/0000-0002-7485-9198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaofan Qiu","raw_affiliation_strings":["HiDream.ai Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"HiDream.ai Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088760097","display_name":"Ting Yao","orcid":"https://orcid.org/0000-0001-7587-101X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting Yao","raw_affiliation_strings":["HiDream.ai Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"HiDream.ai Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080463909","display_name":"Zhineng Chen","orcid":"https://orcid.org/0000-0003-1543-6889"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhineng Chen","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Gang Jiang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101517779","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0002-5990-7307"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["HiDream.ai Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"HiDream.ai Inc., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101197420"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.7479,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73031949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7075","last_page":"7084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9984999895095825,"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/image-denoising","display_name":"Image denoising","score":0.6927666068077087},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.65716552734375},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6282258629798889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6183675527572632},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5057494640350342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4963873028755188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4811093211174011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37920573353767395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32804322242736816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16323664784431458}],"concepts":[{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6927666068077087},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.65716552734375},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6282258629798889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183675527572632},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5057494640350342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4963873028755188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4811093211174011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37920573353767395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32804322242736816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16323664784431458},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W4226125322","https://openalex.org/W4254646129","https://openalex.org/W4312824283","https://openalex.org/W4312933868","https://openalex.org/W4385801729","https://openalex.org/W4386071613","https://openalex.org/W4386076532","https://openalex.org/W4386114505","https://openalex.org/W4387968198","https://openalex.org/W4387969125","https://openalex.org/W4388189411","https://openalex.org/W4388191573","https://openalex.org/W4390872297","https://openalex.org/W4390873054","https://openalex.org/W4390873084","https://openalex.org/W4390873319","https://openalex.org/W4393148714","https://openalex.org/W4402702910","https://openalex.org/W4402753339"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4312627788","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,23,51,186,207],"text-to-image":[3],"generation":[4],"models":[5,29,183],"has":[6],"led":[7],"to":[8,30,41,89,106,120,124,130,153,201],"the":[9,20,24,32,48,55,73,90,110,114,125,132,139,143,155,171,179,202],"recognition":[10],"that":[11,84,175],"image":[12,70,75,92,99,111,181,204],"enhancement,":[13],"performed":[14],"as":[15,151],"post-processing,":[16],"would":[17],"significantly":[18],"improve":[19],"visual":[21,49,165],"quality":[22],"generated":[25,33],"images.":[26],"Exploring":[27],"diffusion":[28,76,100],"enhance":[31,109],"images":[34,159],"nevertheless":[35],"is":[36,80,118],"not":[37],"trivial":[38],"and":[39,93,108,163,189],"necessitates":[40],"delicately":[42],"enrich":[43],"plentiful":[44],"details":[45],"while":[46],"preserving":[47],"appearance":[50],"key":[52],"content":[53],"in":[54,138,184],"original":[56,140],"image.":[57,141],"In":[58,113,142],"this":[59],"paper,":[60],"we":[61,146],"propose":[62],"a":[63,81,97],"novel":[64],"framework,":[65],"namely":[66],"FreeEnhance,":[67],"for":[68],"content-consistent":[69],"enhancement":[71,182,205],"using":[72],"off-the-shelf":[74],"models.":[77],"Technically,":[78],"FreeEnhance":[79,117,177,194],"two-stage":[82],"process":[83],"firstly":[85],"adds":[86],"random":[87],"noise":[88,123],"input":[91],"then":[94],"capitalizes":[95],"on":[96,170],"pre-trained":[98],"model":[101],"(i.e.,":[102],"Latent":[103],"Diffusion":[104],"Models)":[105],"denoise":[107],"details.":[112],"noising":[115],"stage,":[116,145],"devised":[119],"add":[121],"lighter":[122],"region":[126],"with":[127,160],"higher":[128,197],"frequency":[129],"preserve":[131],"high-frequent":[133],"patterns":[134],"(e.g.,":[135],"edge,":[136],"corner)":[137],"denoising":[144],"present":[147],"three":[148],"target":[149],"properties":[150],"constraints":[152],"regularize":[154],"predicted":[156],"noise,":[157],"enhancing":[158],"high":[161,164],"acutance":[162],"quality.":[166],"Extensive":[167],"experiments":[168],"conducted":[169],"HPDv2":[172],"dataset":[173],"demonstrate":[174],"our":[176],"outperforms":[178],"state-of-the-art":[180],"terms":[185],"quantitative":[187],"metrics":[188],"human":[190,198],"preference.":[191],"More":[192],"remarkably,":[193],"also":[195],"shows":[196],"preference":[199],"compared":[200],"commercial":[203],"solution":[206],"Magnific":[208],"AI.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
