{"id":"https://openalex.org/W4410294560","doi":"https://doi.org/10.1109/tip.2025.3565214","title":"SPAC: Sampling-Based Progressive Attribute Compression for Dense Point Clouds","display_name":"SPAC: Sampling-Based Progressive Attribute Compression for Dense Point Clouds","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410294560","doi":"https://doi.org/10.1109/tip.2025.3565214","pmid":"https://pubmed.ncbi.nlm.nih.gov/40354222"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3565214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3565214","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5113286352","display_name":"Xiaolong Mao","orcid":"https://orcid.org/0009-0003-4354-5959"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolong Mao","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071576848","display_name":"Hui Yuan","orcid":"https://orcid.org/0000-0001-5212-3393"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yuan","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5212-3393","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654957","display_name":"Tian Guo","orcid":"https://orcid.org/0000-0003-2941-4605"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Guo","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-2941-4605","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shiqi Jiang","orcid":"https://orcid.org/0009-0001-6120-3843"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Jiang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0001-6120-3843","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025449942","display_name":"Raouf Hamzaoui","orcid":"https://orcid.org/0000-0001-6699-7331"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Raouf Hamzaoui","raw_affiliation_strings":["School of Engineering and Sustainable Development, De Montfort University, Leicester, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6699-7331","affiliations":[{"raw_affiliation_string":"School of Engineering and Sustainable Development, De Montfort University, Leicester, U.K","institution_ids":["https://openalex.org/I66943878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Science, Lingnan University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113286352"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":8.3581,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98153028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"2939","last_page":"2953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9664000272750854,"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/computer-science","display_name":"Computer science","score":0.517331063747406},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.48528382182121277},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4842061996459961},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4799535572528839},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4564230144023895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43697232007980347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4192882180213928},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12825092673301697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.517331063747406},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48528382182121277},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4842061996459961},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4799535572528839},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4564230144023895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43697232007980347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4192882180213928},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12825092673301697},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3565214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3565214","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40354222","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40354222","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2034809489","display_name":null,"funder_award_id":"ZR2022ZD38","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3025926847","display_name":null,"funder_award_id":"62172259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7501441834","display_name":null,"funder_award_id":"tsqn202103001","funder_id":"https://openalex.org/F4320326189","funder_display_name":"Taishan Scholar Project of Shandong Province"},{"id":"https://openalex.org/G8737991249","display_name":null,"funder_award_id":"62222110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320326189","display_name":"Taishan Scholar Project of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1971763751","https://openalex.org/W1986678681","https://openalex.org/W2134076294","https://openalex.org/W2135469284","https://openalex.org/W2146395539","https://openalex.org/W2415653907","https://openalex.org/W2460657278","https://openalex.org/W2516853023","https://openalex.org/W2565708152","https://openalex.org/W2609263042","https://openalex.org/W2785562966","https://openalex.org/W2883604724","https://openalex.org/W2896304995","https://openalex.org/W2963047604","https://openalex.org/W2963916701","https://openalex.org/W2970849590","https://openalex.org/W2982170926","https://openalex.org/W2996973935","https://openalex.org/W3035428054","https://openalex.org/W3044110181","https://openalex.org/W3048526884","https://openalex.org/W3111535274","https://openalex.org/W3117377788","https://openalex.org/W3142798943","https://openalex.org/W3159975835","https://openalex.org/W3170603795","https://openalex.org/W3171223006","https://openalex.org/W3175145712","https://openalex.org/W3179630053","https://openalex.org/W4221156617","https://openalex.org/W4224034487","https://openalex.org/W4293518258","https://openalex.org/W4297685253","https://openalex.org/W4310591442","https://openalex.org/W4317794929","https://openalex.org/W4323519265","https://openalex.org/W4364353956","https://openalex.org/W4372260571","https://openalex.org/W4387969376","https://openalex.org/W4388018819","https://openalex.org/W4388519997","https://openalex.org/W4388543857","https://openalex.org/W4390534472","https://openalex.org/W4391974655","https://openalex.org/W4392173736","https://openalex.org/W4392693773","https://openalex.org/W4392979609","https://openalex.org/W4393965190","https://openalex.org/W4399452735","https://openalex.org/W4400578792","https://openalex.org/W4402835130","https://openalex.org/W6631686956","https://openalex.org/W6687484953","https://openalex.org/W6763422710","https://openalex.org/W6793364766","https://openalex.org/W6842900722"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,19,80,222],"end-to-end":[3],"attribute":[4,110,120,167,269],"compression":[5,204],"method":[6,13,174,219],"for":[7,86,129,229,235,246,252],"dense":[8],"point":[9,53,60,65,202],"clouds.":[10,72],"The":[11,34,55,89,172],"proposed":[12,173,209,218],"combines":[14],"a":[15,29,39,83,108,123,154,180,267],"frequency":[16,35],"sampling":[17,36],"module,":[18],"adaptive":[20,94],"scale":[21],"feature":[22,87,90,111],"extraction":[23,91],"module":[24,37,92,113],"with":[25],"geometry":[26],"assistance,":[27],"and":[28,42,62,97,104,163,183,244],"global":[30,105,124],"hyperprior":[31,125,135],"entropy":[32,130],"model.":[33],"uses":[38,98],"Hamming":[40],"window":[41],"the":[43,52,58,63,118,138,143,148,152,165,195,199,211,217,230,239,247,256,263,272,280],"Fast":[44],"Fourier":[45],"Transform":[46],"to":[47,100,116,142,159,189,194],"extract":[48],"high-frequency":[49],"components":[50],"of":[51,198,227],"cloud.":[54],"difference":[56],"between":[57],"original":[59],"cloud":[61,66,203],"sampled":[64],"is":[67,114,127,157,262],"divided":[68],"into":[69],"multiple":[70],"sub-point":[71,74],"These":[73],"clouds":[75],"are":[76],"then":[77],"partitioned":[78],"using":[79],"octree,":[81],"providing":[82],"structured":[84],"input":[85],"extraction.":[88],"integrates":[93],"convolutional":[95,170],"layers":[96],"offset-attention":[99],"capture":[101],"both":[102],"local":[103],"features.":[106,121],"Then,":[107],"geometry-assisted":[109],"refinement":[112],"used":[115,158],"refine":[117],"extracted":[119],"Finally,":[122],"model":[126,133],"introduced":[128],"encoding.":[131],"This":[132,261],"propagates":[134],"parameters":[136],"from":[137],"deepest":[139],"(base)":[140],"layer":[141,177,187],"other":[144],"layers,":[145],"further":[146],"enhancing":[147],"encoding":[149],"efficiency.":[150],"At":[151],"decoder,":[153],"mirrored":[155],"network":[156],"progressively":[160,184],"restore":[161],"features":[162],"reconstruct":[164],"color":[166],"through":[168],"transposed":[169],"layers.":[171],"encodes":[175],"base":[176],"information":[178,188],"at":[179],"low":[181],"bitrate":[182,226],"adds":[185],"enhancement":[186],"improve":[190],"reconstruction":[191],"accuracy.":[192],"Compared":[193],"best":[196],"anchor":[197],"latest":[200],"geometry-based":[201],"(G-PCC)":[205],"standard":[206,274],"that":[207,266],"was":[208],"by":[210,278,285],"Moving":[212],"Picture":[213],"Experts":[214],"Group":[215],"(MPEG),":[216],"can":[220],"achieve":[221],"average":[223],"Bj\u00f8ntegaard":[224],"delta":[225],"-24.58%":[228],"Y":[231,248],"component":[232,249],"(resp.":[233,250],"-21.23%":[234],"YUV":[236,253],"components)":[237,254],"on":[238,255,275,295],"MPEG":[240,257],"Category":[241,258],"Solid":[242],"dataset":[243],"-22.48%":[245],"-17.19%":[251],"Dense":[259],"dataset.":[260],"first":[264],"instance":[265],"learning-based":[268],"codec":[270],"outperforms":[271],"G-PCC":[273],"these":[276],"datasets":[277],"following":[279],"common":[281],"test":[282],"conditions":[283],"specified":[284],"MPEG.":[286],"Our":[287],"source":[288],"code":[289],"will":[290],"be":[291],"made":[292],"publicly":[293],"available":[294],"https://github.com/sduxlmao/SPAC.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
