{"id":"https://openalex.org/W4402979466","doi":"https://doi.org/10.1109/icme57554.2024.10688169","title":"Point Cloud Compression via Constrained Optimal Transport","display_name":"Point Cloud Compression via Constrained Optimal Transport","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979466","doi":"https://doi.org/10.1109/icme57554.2024.10688169"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688169","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/icme57554.2024.10688169","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086306308","display_name":"Z J Li","orcid":"https://orcid.org/0000-0001-9064-689X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zezeng Li","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042192401","display_name":"Weimin Wang","orcid":"https://orcid.org/0000-0001-6557-7175"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Wang","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120543294","display_name":"Ziliang Wang","orcid":"https://orcid.org/0009-0003-1250-867X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziliang Wang","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109760765","display_name":"Na Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Lei","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,People’s Republic of China,116024","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086306308"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.3722,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88360046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9882000088691711,"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":0.9882000088691711,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-science","display_name":"Computer science","score":0.6450639963150024},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5934180617332458},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.531265914440155},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4965401291847229},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4518158733844757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10562926530838013},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08651760220527649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07445767521858215},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06500431895256042},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06302085518836975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450639963150024},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5934180617332458},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.531265914440155},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4965401291847229},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4518158733844757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10562926530838013},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08651760220527649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07445767521858215},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06500431895256042},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06302085518836975},{"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/icme57554.2024.10688169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688169","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icme57554.2024.10688169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688169","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2319503556","https://openalex.org/W2415653907","https://openalex.org/W2922745530","https://openalex.org/W2962785568","https://openalex.org/W2963875852","https://openalex.org/W2976304245","https://openalex.org/W2979750740","https://openalex.org/W2982170926","https://openalex.org/W2991216808","https://openalex.org/W2991440249","https://openalex.org/W2997327074","https://openalex.org/W2997337685","https://openalex.org/W3014200484","https://openalex.org/W3034310863","https://openalex.org/W3034317268","https://openalex.org/W3035428054","https://openalex.org/W3046961466","https://openalex.org/W3113844551","https://openalex.org/W3131242954","https://openalex.org/W3159975835","https://openalex.org/W3179630053","https://openalex.org/W4206471589","https://openalex.org/W4214755140","https://openalex.org/W4224234881","https://openalex.org/W4225318217","https://openalex.org/W4293518239","https://openalex.org/W4310591442","https://openalex.org/W4312654212","https://openalex.org/W4384519377","https://openalex.org/W4386075996","https://openalex.org/W4386172472"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,53,59,76,93],"novel":[4],"point":[5,88,110],"cloud":[6,111],"compression":[7,101],"method":[8],"COT-PCC":[9,21,115],"by":[10],"formulating":[11],"the":[12,23,38,47,67,79,100],"task":[13],"as":[14,28],"constrained":[16],"optimal":[17,33,80],"transport":[18,34],"(COT)":[19],"problem.":[20],"takes":[22],"bitrate":[24,60],"of":[25,32,84,121],"compressed":[26],"features":[27],"an":[29],"extra":[30],"constraint":[31],"(OT)":[35],"which":[36],"learns":[37],"distribution":[39],"transformation":[40],"between":[41,70,82],"original":[42],"and":[43,58,72,75,86,108,124],"reconstructed":[44,73,87],"points.":[45],"Specifically,":[46],"formulated":[48],"COT":[49],"is":[50],"implemented":[51],"with":[52],"generative":[54],"adversarial":[55],"network":[56],"(GAN)":[57],"loss":[61],"for":[62,97],"training.":[63],"The":[64],"discriminator":[65],"measures":[66],"Wasserstein":[68],"distance":[69],"input":[71,85],"points,":[74],"generator":[77],"calculates":[78],"mapping":[81],"distributions":[83],"cloud.":[89],"Moreover,":[90],"we":[91],"introduce":[92],"learnable":[94],"sampling":[95],"module":[96],"downsampling":[98],"in":[99,119],"procedure.":[102],"Extensive":[103],"results":[104],"on":[105],"both":[106,122],"sparse":[107],"dense":[109],"datasets":[112],"demonstrate":[113],"that":[114],"outperforms":[116],"state-of-the-art":[117],"methods":[118],"terms":[120],"CD":[123],"PSNR":[125],"metrics.":[126],"Source":[127],"codes":[128],"are":[129],"available":[130],"at":[131],"https://github.com/cognaclee/PCC-COT.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}