{"id":"https://openalex.org/W4403585678","doi":"https://doi.org/10.1145/3664647.3681512","title":"Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem","display_name":"Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403585678","doi":"https://doi.org/10.1145/3664647.3681512"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681512","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":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.03179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048311588","display_name":"Zhu Qiwen","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwen Zhu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0008-5984-4941","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049134977","display_name":"Yanjie Wang","orcid":"https://orcid.org/0000-0001-7352-6183"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Wang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7352-6183","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049309570","display_name":"Shilv Cai","orcid":"https://orcid.org/0000-0002-4037-4555"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilv Cai","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4037-4555","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082920104","display_name":"Liqun Chen","orcid":"https://orcid.org/0000-0001-6345-5713"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Chen","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6345-5713","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055004003","display_name":"Jiahuan Zhou","orcid":"https://orcid.org/0000-0002-3301-747X"},"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":"Jiahuan Zhou","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3301-747X","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653923","display_name":"Luxin Yan","orcid":"https://orcid.org/0000-0002-5445-2702"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxin Yan","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5445-2702","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026169204","display_name":"Sheng Zhong","orcid":"https://orcid.org/0000-0003-2865-8202"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhong","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2865-8202","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067026960","display_name":"Xu Zou","orcid":"https://orcid.org/0000-0002-0251-7404"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zou","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0251-7404","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8749,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75450648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7483","last_page":"7492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9930999875068665,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7338615655899048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318185567855835},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5978248119354248},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5778390169143677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5603207945823669},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5501103401184082},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.44496819376945496},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4221819341182709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41303592920303345},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41285261511802673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41219645738601685}],"concepts":[{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7338615655899048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318185567855835},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5978248119354248},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5778390169143677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5603207945823669},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5501103401184082},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.44496819376945496},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4221819341182709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41303592920303345},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41285261511802673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41219645738601685},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3681512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681512","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"},{"id":"pmh:oai:arXiv.org:2409.03179","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.03179","pdf_url":"https://arxiv.org/pdf/2409.03179","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.03179","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.03179","pdf_url":"https://arxiv.org/pdf/2409.03179","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1510052597","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2126105956","https://openalex.org/W2133665775","https://openalex.org/W2135305876","https://openalex.org/W2136918060","https://openalex.org/W2143381319","https://openalex.org/W2331128040","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2603415636","https://openalex.org/W2607041014","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2768814045","https://openalex.org/W2788264489","https://openalex.org/W2891158090","https://openalex.org/W2891761377","https://openalex.org/W2895240252","https://openalex.org/W2962785568","https://openalex.org/W2962848800","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963591054","https://openalex.org/W2963814095","https://openalex.org/W2964060609","https://openalex.org/W2983873691","https://openalex.org/W2984447413","https://openalex.org/W2985368596","https://openalex.org/W3011456574","https://openalex.org/W3035557850","https://openalex.org/W3035677605","https://openalex.org/W3096831136","https://openalex.org/W3098418424","https://openalex.org/W3134210183","https://openalex.org/W3138516171","https://openalex.org/W3162387221","https://openalex.org/W3166727904","https://openalex.org/W3207918547","https://openalex.org/W4223483730","https://openalex.org/W4224230993","https://openalex.org/W4281719937","https://openalex.org/W4287180800","https://openalex.org/W4386075678","https://openalex.org/W4386075979","https://openalex.org/W4386076141","https://openalex.org/W4390872407"],"related_works":["https://openalex.org/W4233965824","https://openalex.org/W2607442583","https://openalex.org/W3199199693","https://openalex.org/W4286970057","https://openalex.org/W2967237190","https://openalex.org/W3028852288","https://openalex.org/W4323366554","https://openalex.org/W2405673391","https://openalex.org/W4292388060","https://openalex.org/W2200000192"],"abstract_inverted_index":{"Training":[0],"Single-Image":[1],"Super-Resolution":[2,133],"(SISR)":[3],"models":[4,101,205],"using":[5,33],"pixel-based":[6],"regression":[7],"losses":[8,37,61],"can":[9,38,62],"achieve":[10,64],"high":[11,43],"distortion":[12,68],"metrics":[13,120],"scores":[14,46],"(e.g.,":[15,47],"PSNR":[16],"and":[17,53,69,106,115,147,170,192,203],"SSIM),":[18],"but":[19,49,71],"often":[20],"results":[21],"in":[22,75,164,194],"blurry":[23],"images":[24,41],"due":[25],"to":[26,102,125],"insufficient":[27],"recovery":[28],"of":[29,60,99,151,166],"high-frequency":[30],"details.":[31],"Conversely,":[32],"GAN":[34],"or":[35],"perceptual":[36,44,104,168,190],"produce":[39],"sharp":[40],"with":[42],"metric":[45],"LPIPS),":[48],"may":[50],"introduce":[51],"artifacts":[52],"incorrect":[54],"textures.":[55],"Balancing":[56],"these":[57],"two":[58],"types":[59],"help":[63],"a":[65,87,182],"trade-off":[66],"between":[67,112],"perception,":[70],"the":[72,77,96,110,139,149,174],"challenge":[73],"lies":[74],"tuning":[76,141],"loss":[78,113,153],"function":[79],"weights.":[80],"To":[81],"address":[82],"this":[83],"issue,":[84],"we":[85],"propose":[86],"novel":[88],"method":[89],"that":[90,159],"incorporates":[91],"Multi-Objective":[92,130],"Optimization":[93,132],"(MOO)":[94],"into":[95],"training":[97],"process":[98],"SISR":[100],"balance":[103],"quality":[105,117,169,191],"distortion.":[107],"We":[108],"conceptualize":[109],"relationship":[111],"weights":[114],"image":[116,197],"assessment":[118],"(IQA)":[119],"as":[121],"black-box":[122],"objective":[123],"functions":[124,154],"be":[126],"optimized":[127],"within":[128],"our":[129],"Bayesian":[131],"(MOBOSR)":[134],"framework.":[135],"This":[136],"approach":[137],"automates":[138],"hyperparameter":[140],"process,":[142],"reduces":[143],"overall":[144],"computational":[145],"cost,":[146],"enables":[148],"use":[150],"numerous":[152],"simultaneously.":[155],"Extensive":[156],"experiments":[157],"demonstrate":[158],"MOBOSR":[160],"outperforms":[161],"state-of-the-art":[162],"methods":[163],"terms":[165],"both":[167],"distortion,":[171],"significantly":[172],"advancing":[173],"perception-distortion":[175],"Pareto":[176],"frontier.":[177],"Our":[178],"work":[179],"points":[180],"towards":[181],"new":[183],"direction":[184],"for":[185],"future":[186],"research":[187],"on":[188],"balancing":[189],"fidelity":[193],"nearly":[195],"all":[196],"restoration":[198],"tasks.":[199],"The":[200],"source":[201],"code":[202],"pretrained":[204],"are":[206],"available":[207],"at:":[208],"https://github.com/ZhuKeven/MOBOSR.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}