{"id":"https://openalex.org/W7163236506","doi":"https://doi.org/10.48550/arxiv.2606.01608","title":"Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression","display_name":"Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163236506","doi":"https://doi.org/10.48550/arxiv.2606.01608"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01608","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.01608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137701513","display_name":"Hao Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137707442","display_name":"Yanhui Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yanhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137661285","display_name":"Chenyang Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Chenyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137653865","display_name":"Saeed Anwar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anwar, Saeed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137623814","display_name":"Ajmal Mian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mian, Ajmal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.5961999893188477,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.5961999893188477,"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":0.16740000247955322,"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":0.14669999480247498,"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/fidelity","display_name":"Fidelity","score":0.605400025844574},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5697000026702881},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5099999904632568},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5069000124931335},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.450300008058548},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.43639999628067017},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.42800000309944153},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.385699987411499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904000282287598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650999784469604},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5697000026702881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5418000221252441},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5099999904632568},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.43639999628067017},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3815999925136566},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.37770000100135803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.3010999858379364},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.275299996137619},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2720000147819519},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.26759999990463257},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.26739999651908875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01608","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.01608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01608","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Most":[0],"existing":[1],"extreme":[2],"compression":[3,37,74,124],"methods":[4],"fail":[5],"to":[6,59,109,171],"achieve":[7],"an":[8],"optimal":[9],"rate-distortion-perception":[10,190],"trade-off,":[11],"as":[12],"they":[13],"typically":[14],"prioritize":[15],"perceptual":[16,202],"fidelity":[17,87,133,206],"and":[18,57,81,106,125,164,167,204,217],"visual":[19],"realism":[20],"over":[21],"pixel-level":[22,168],"accuracy.":[23],"Consequently,":[24],"the":[25,32,60,63,103,112,117,131,157,173,189,208,214],"resulting":[26],"reconstructions":[27],"often":[28],"deviate":[29],"noticeably":[30],"from":[31,102],"originals.":[33],"Ultra-low":[34],"bitrate":[35,90],"image":[36],"is":[38],"therefore":[39],"crucial-not":[40],"only":[41,150],"for":[42,49,111],"producing":[43],"extremely":[44,193],"compact":[45],"representations":[46,114],"but":[47,160],"also":[48,161],"ensuring":[50],"that":[51,76,98,155,182],"reconstructed":[52,209],"images":[53],"remain":[54],"semantically":[55],"coherent":[56],"faithful":[58],"source":[61,215],"at":[62,192,220],"pixel":[64,82],"level.":[65],"To":[66,128],"this":[67],"end,":[68],"we":[69,93,137],"propose":[70],"SPRDiff,":[71],"a":[72,95,139,152],"diffusion-based":[73],"method":[75,184],"fully":[77],"leverages":[78],"both":[79,201],"semantic":[80],"representations,":[83],"thereby":[84,121],"enhancing":[85],"reconstruction":[86,132,141,154],"under":[88],"ultra-low":[89],"constraints.":[91],"Specifically,":[92],"develop":[94],"triple-encoder":[96],"architecture":[97],"utilizes":[99],"high-fidelity":[100],"features":[101],"pretrained":[104],"distortion-oriented":[105],"semantic-oriented":[107],"encoders":[108],"compensate":[110],"limited":[113],"extracted":[115],"by":[116],"frozen":[118],"VAE":[119],"encoder,":[120],"improving":[122],"latent":[123],"entropy":[126],"modeling.":[127],"further":[129],"enhance":[130],"of":[134],"diffusion":[135,174],"models,":[136],"introduce":[138],"distortion-aware":[140],"module":[142,148],"with":[143],"dual":[144],"feature":[145],"extraction.":[146],"This":[147],"not":[149],"generates":[151],"coarse":[153],"preserves":[156],"main":[158],"structures,":[159],"provides":[162],"practical":[163],"accurate":[165],"semantic-":[166],"conditional":[169],"signals":[170],"guide":[172],"model.":[175],"Extensive":[176],"experiments":[177],"on":[178],"benchmark":[179],"datasets":[180],"demonstrate":[181],"our":[183],"outperforms":[185],"state-of-the-art":[186],"approaches":[187],"in":[188,207],"tradeoff":[191],"low":[194],"bitrates":[195],"(below":[196],"0.03":[197],"bpp),":[198],"effectively":[199],"preserving":[200],"quality":[203],"pixel-wise":[205],"images.":[210],"We":[211],"will":[212],"release":[213],"code":[216],"trained":[218],"models":[219],"https://github.com/cshw2021/SPRDiff.":[221]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}