{"id":"https://openalex.org/W4391306795","doi":"https://doi.org/10.1109/vcip59821.2023.10402791","title":"Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner","display_name":"Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391306795","doi":"https://doi.org/10.1109/vcip59821.2023.10402791"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402791","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5100724756","display_name":"Hangyu Li","orcid":"https://orcid.org/0000-0002-9659-3634"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hangyu Li","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417078","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0001-9169-1924"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006819716","display_name":"Litian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Litian Li","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059667859","display_name":"Yongqi Zhai","orcid":"https://orcid.org/0000-0002-3748-1392"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqi Zhai","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Pengcheng Laboratory, Shenzhen, China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055296802","display_name":"Ronggang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China","Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100724756"],"corresponding_institution_ids":["https://openalex.org/I4210128628"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19422906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994000196456909,"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.8805723786354065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7431519627571106},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5608808398246765},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5414526462554932},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.48214051127433777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47366127371788025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716079831123352},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.427878737449646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4089944064617157},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3281250298023224},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3091776967048645},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06381717324256897},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05406138300895691}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.8805723786354065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7431519627571106},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5608808398246765},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5414526462554932},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.48214051127433777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47366127371788025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716079831123352},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.427878737449646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4089944064617157},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3281250298023224},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3091776967048645},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06381717324256897},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05406138300895691},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402791","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip59821.2023.10402791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":21,"referenced_works":["https://openalex.org/W1935978687","https://openalex.org/W1995875735","https://openalex.org/W2099563019","https://openalex.org/W2140196014","https://openalex.org/W2476548250","https://openalex.org/W2949361041","https://openalex.org/W2962676454","https://openalex.org/W2964098744","https://openalex.org/W3034469748","https://openalex.org/W3036843665","https://openalex.org/W3138154797","https://openalex.org/W3175457126","https://openalex.org/W4287118909","https://openalex.org/W4287284742","https://openalex.org/W4287756134","https://openalex.org/W4309134821","https://openalex.org/W4312796583","https://openalex.org/W4312806968","https://openalex.org/W4320169939","https://openalex.org/W4389474446","https://openalex.org/W4390871851"],"related_works":["https://openalex.org/W2111946936","https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2751842002","https://openalex.org/W2161981399"],"abstract_inverted_index":{"Recently,":[0,28],"image":[1],"compression":[2],"based":[3],"on":[4,151,169,175],"Implicit":[5],"Neural":[6],"Representation":[7],"(INR)":[8],"has":[9],"gained":[10],"interest.":[11],"However,":[12],"the":[13,41,55,65,73,88,97,107,131,140,154,157],"performance":[14,144],"of":[15,31,43,109,120,133,147,156],"INR-based":[16],"methods":[17,85],"is":[18,68,102,115,164],"poor":[19],"because":[20],"MLP":[21,44],"can":[22],"not":[23,39],"fit":[24],"high-frequency":[25],"information":[26],"well.":[27],"a":[29],"kind":[30],"hybrid":[32,89,134,158],"INR":[33,90,135,159],"method":[34],"was":[35],"proposed,":[36],"which":[37],"transmits":[38],"only":[40],"parameters":[42],"but":[45],"also":[46],"some":[47],"external":[48],"latents":[49],"to":[50,52,72,86,104,130,137],"help":[51],"overfit":[53],"at":[54],"decoder.":[56],"Despite":[57],"its":[58],"low":[59],"MACs":[60,146],"(Multiply\u2013Accumulate":[61],"Operations":[62],"per":[63],"pixel),":[64],"decoding":[66,92,162],"time":[67],"still":[69],"slow":[70],"due":[71],"serial":[74],"autoregressive":[75],"context":[76],"model":[77],"for":[78],"entropy":[79,110],"coding.":[80,111],"Hence,":[81],"we":[82,125],"propose":[83],"two":[84],"improve":[87],"method\u2019s":[91],"speed":[93,105,163],"and":[94,145,171],"performance.":[95],"First,":[96],"Subpixel":[98],"Context":[99],"Model":[100],"(SAM)":[101],"aimed":[103],"up":[106],"process":[108],"The":[112,143,161],"proposed":[113],"SAM":[114],"latent":[116,118],"by":[117,122],"instead":[119],"pixel":[121],"pixel.":[123],"Second,":[124],"add":[126],"an":[127],"iterative":[128],"pruner":[129],"pipeline":[132],"compression,":[136],"further":[138],"reduce":[139],"bit":[141],"rate.":[142],"our":[148],"approach":[149],"are":[150],"par":[152],"with":[153],"SOTA":[155],"methods.":[160],"about":[165],"eight":[166],"times":[167,173],"faster":[168,174],"CPU,":[170],"three":[172],"GPU.":[176]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}