{"id":"https://openalex.org/W4408355750","doi":"https://doi.org/10.1109/icassp49660.2025.10890788","title":"Point Cloud Resampling With Learnable Heat Diffusion","display_name":"Point Cloud Resampling With Learnable Heat Diffusion","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355750","doi":"https://doi.org/10.1109/icassp49660.2025.10890788"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113772256","display_name":"Wenqiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Xu","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342512","display_name":"Wenrui Dai","orcid":"https://orcid.org/0000-0003-2522-5778"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Dai","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086442836","display_name":"Duoduo Xue","orcid":"https://orcid.org/0000-0002-6608-5700"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duoduo Xue","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073652872","display_name":"Ziyang Zheng","orcid":"https://orcid.org/0000-0001-9923-8016"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Zheng","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675587","display_name":"Chenglin Li","orcid":"https://orcid.org/0000-0003-2888-594X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Li","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006337","display_name":"Junni Zou","orcid":"https://orcid.org/0000-0002-9694-9880"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junni Zou","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Xiong","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"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":0.9984999895095825,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9930999875068665,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.7516326904296875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5602375864982605},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4907180070877075},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4901798367500305},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.484594464302063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2529500126838684},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.10300052165985107},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06268882751464844}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7516326904296875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5602375864982605},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4907180070877075},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4901798367500305},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.484594464302063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2529500126838684},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.10300052165985107},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06268882751464844},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2061987443","https://openalex.org/W2157507643","https://openalex.org/W2169611956","https://openalex.org/W2560609797","https://openalex.org/W2694961595","https://openalex.org/W2765223700","https://openalex.org/W2884154111","https://openalex.org/W2963680153","https://openalex.org/W2979750740","https://openalex.org/W2997337685","https://openalex.org/W3015248322","https://openalex.org/W3045749263","https://openalex.org/W3106699132","https://openalex.org/W3128475240","https://openalex.org/W3146210588","https://openalex.org/W3209852754","https://openalex.org/W4205750219","https://openalex.org/W4214721726","https://openalex.org/W4285184065","https://openalex.org/W4312473078","https://openalex.org/W4386075817","https://openalex.org/W4389469771","https://openalex.org/W4391020616","https://openalex.org/W4403791322","https://openalex.org/W6752307458","https://openalex.org/W6779823529","https://openalex.org/W6797906067","https://openalex.org/W6838766441","https://openalex.org/W6842166005","https://openalex.org/W6847671982"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W1998176685","https://openalex.org/W2138381686"],"abstract_inverted_index":{"Generative":[0],"diffusion":[1,35,72,93,117],"models":[2,36,118],"have":[3],"shown":[4],"empirical":[5],"successes":[6],"in":[7,168],"point":[8,25,48,75,133,162,173],"cloud":[9,49,76,134,163,174],"resampling,":[10,77],"generating":[11],"a":[12,68,120,137],"denser":[13],"and":[14,55,95,104,176],"more":[15],"uniform":[16],"distribution":[17,83],"of":[18,58,99,131],"points":[19,144],"from":[20],"sparse":[21],"or":[22],"noisy":[23],"3D":[24],"clouds":[26],"by":[27,88,135],"progressively":[28],"refining":[29],"noise":[30],"into":[31],"structure.":[32],"However,":[33],"existing":[34],"employ":[37],"manually":[38],"predefined":[39],"schemes,":[40],"which":[41,78],"often":[42],"fail":[43],"to":[44,52,145],"recover":[45],"the":[46,53,59,81,85,90,100,112,123,132,143,148,152,160],"underlying":[47,149],"structure":[50],"due":[51],"rigid":[54],"disruptive":[56],"nature":[57],"geometric":[60,129],"degradation.":[61],"To":[62],"address":[63],"this":[64],"issue,":[65],"we":[66],"propose":[67],"novel":[69],"learnable":[70],"heat":[71,92,102],"framework":[73],"for":[74,84,111],"directly":[79],"parameterizes":[80],"marginal":[82],"forward":[86],"process":[87],"learning":[89],"adaptive":[91,108,124],"schedules":[94],"local":[96],"filtering":[97],"scales":[98],"time-varying":[101],"kernel,":[103],"consequently,":[105],"generates":[106],"an":[107],"conditional":[109,125],"prior":[110,126],"reverse":[113,153],"process.":[114,154],"Unlike":[115],"previous":[116],"with":[119],"fixed":[121],"prior,":[122],"selectively":[127],"preserves":[128],"features":[130],"minimizing":[136],"refined":[138],"variational":[139],"lower":[140],"bound,":[141],"guiding":[142],"evolve":[146],"towards":[147],"surface":[150],"during":[151],"Extensive":[155],"experimental":[156],"results":[157],"demonstrate":[158],"that":[159],"proposed":[161],"resampling":[164],"achieves":[165],"state-of-the-art":[166],"performance":[167],"representative":[169],"reconstruction":[170],"tasks":[171],"including":[172],"denoising":[175],"upsampling.":[177]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}