{"id":"https://openalex.org/W4405031994","doi":"https://doi.org/10.1109/iccv51701.2025.01445","title":"An Information-Theoretic Regularizer for Lossy Neural Image Compression","display_name":"An Information-Theoretic Regularizer for Lossy Neural Image Compression","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4405031994","doi":"https://doi.org/10.1109/iccv51701.2025.01445"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.16727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077293966","display_name":"Yingwen Zhang","orcid":"https://orcid.org/0000-0002-7227-4452"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yingwen Zhang","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,Hong Kong,China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377170","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-5655-1464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Data Science, Lingnan University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University,Hong Kong,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017703152","display_name":"Xihua Sheng","orcid":"https://orcid.org/0000-0001-7350-4929"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xihua Sheng","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,Hong Kong,China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648490","display_name":"Peilin Chen","orcid":"https://orcid.org/0000-0001-6636-522X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peilin Chen","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,Hong Kong,China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690725","display_name":"Junru Li","orcid":"https://orcid.org/0000-0001-7603-8599"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junru Li","raw_affiliation_strings":["Bytedance Inc.,San Diego,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc.,San Diego,USA","institution_ids":["https://openalex.org/I160856358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425408","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-5774-4068"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Bytedance Inc.,San Diego,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bytedance Inc.,San Diego,USA","institution_ids":["https://openalex.org/I160856358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science,Hong Kong,China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5077293966"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00094454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15573","last_page":"15582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9945999979972839,"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":0.9945999979972839,"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/T10320","display_name":"Neural Networks and Applications","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9580000042915344,"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/lossy-compression","display_name":"Lossy compression","score":0.8582931756973267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749716758728027},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5434873104095459},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5219213962554932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678521752357483},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.46156588196754456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3409474790096283},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23776409029960632},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.062041014432907104}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8582931756973267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749716758728027},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5434873104095459},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5219213962554932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678521752357483},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.46156588196754456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3409474790096283},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23776409029960632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.062041014432907104},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.01445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.16727","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.16727","pdf_url":"https://arxiv.org/pdf/2411.16727","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"},{"id":"doi:10.48550/arxiv.2411.16727","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.16727","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.16727","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.16727","pdf_url":"https://arxiv.org/pdf/2411.16727","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4405031994.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W4210785996","https://openalex.org/W4327499886","https://openalex.org/W1680283075","https://openalex.org/W3162084246","https://openalex.org/W2181436147","https://openalex.org/W2056051076","https://openalex.org/W2793856282","https://openalex.org/W3202870363","https://openalex.org/W2115343698"],"abstract_inverted_index":{"Lossy":[0],"image":[1,81],"compression":[2,82,140],"networks":[3],"aim":[4],"to":[5,14,27,48,52],"minimize":[6],"the":[7,20,44,54,79,86,92,98,102,128,135],"latent":[8,33,45,136],"entropy":[9,46,90],"of":[10,30],"images":[11],"while":[12],"adhering":[13],"specific":[15],"distortion":[16],"constraints.":[17],"However,":[18],"optimizing":[19],"neural":[21,80],"network":[22],"can":[23,106],"be":[24,107],"challenging":[25],"due":[26],"its":[28,124],"nature":[29],"learning":[31],"quantized":[32],"representations.":[34],"In":[35],"this":[36,69],"paper,":[37],"our":[38],"key":[39],"finding":[40],"is":[41,61,113],"that":[42,60,96],"minimizing":[43],"is,":[47],"some":[49],"extent,":[50],"equivalent":[51],"maximizing":[53],"conditional":[55,88],"source":[56,89],"entropy,":[57],"an":[58],"insight":[59],"deeply":[62],"rooted":[63],"in":[64,126],"information-theoretic":[65,111],"equalities.":[66],"Building":[67],"on":[68],"insight,":[70],"we":[71],"propose":[72],"a":[73],"novel":[74],"structural":[75],"regularization":[76],"method":[77],"for":[78],"task":[83],"by":[84],"incorporating":[85],"negative":[87],"into":[91],"training":[93],"objective,":[94],"such":[95],"both":[97],"optimization":[99],"efficacy":[100],"and":[101,116,130,142],"model's":[103],"generalization":[104],"ability":[105],"promoted.":[108],"The":[109],"proposed":[110],"regularizer":[112],"interpretable,":[114],"plug-and-play,":[115],"imposes":[117],"no":[118],"inference":[119],"overheads.":[120],"Extensive":[121],"experiments":[122],"demonstrate":[123],"superiority":[125],"regularizing":[127],"models":[129],"further":[131],"squeezing":[132],"bits":[133],"from":[134],"representation":[137],"across":[138],"various":[139],"structures":[141],"unseen":[143],"domains.":[144]},"counts_by_year":[],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-10-10T00:00:00"}