{"id":"https://openalex.org/W4415293139","doi":"https://doi.org/10.1109/tip.2025.3620666","title":"PVNet: Point-Voxel Interaction LiDAR Scene Upsampling via Diffusion Models","display_name":"PVNet: Point-Voxel Interaction LiDAR Scene Upsampling via Diffusion Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415293139","doi":"https://doi.org/10.1109/tip.2025.3620666","pmid":"https://pubmed.ncbi.nlm.nih.gov/41105538"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3620666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3620666","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/A5006891422","display_name":"Xianjing Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjing Cheng","raw_affiliation_strings":["Telecom Guizhou Branch, Guiyang, China","Telecom Guizhou Branch, China"],"raw_orcid":"https://orcid.org/0000-0002-1644-5384","affiliations":[{"raw_affiliation_string":"Telecom Guizhou Branch, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"Telecom Guizhou Branch, China","institution_ids":["https://openalex.org/I4210136246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008891315","display_name":"Lintai Wu","orcid":"https://orcid.org/0000-0002-9260-0980"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintai Wu","raw_affiliation_strings":["College of Engineering, Huaqiao University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9260-0980","affiliations":[{"raw_affiliation_string":"College of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005464029","display_name":"Zuowen Wang","orcid":"https://orcid.org/0000-0002-8051-9886"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuowen Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China","Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-3431-2021","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017617923","display_name":"Jie Wen","orcid":"https://orcid.org/0000-0001-9554-2379"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9554-2379","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China","Shenzhen Graduate School, Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0530-2123","affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Graduate School, Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7398,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94001323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"6895","last_page":"6910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9782000184059143,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9782000184059143,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9505000114440918,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9172999858856201,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/upsampling","display_name":"Upsampling","score":0.9606999754905701},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7925000190734863},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6082000136375427},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6079000234603882},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49079999327659607},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.49059998989105225},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4645000100135803},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.459199994802475}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9606999754905701},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7925000190734863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093999981880188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6193000078201294},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6082000136375427},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6079000234603882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626000165939331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.49059998989105225},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4645000100135803},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.459199994802475},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.353300005197525},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2888999879360199},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3620666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3620666","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:41105538","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41105538","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/G1898488731","display_name":null,"funder_award_id":"61876051","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4212326218","display_name":null,"funder_award_id":"ZDSYS20190902093015527","funder_id":"https://openalex.org/F4320326293","funder_display_name":"Guangxi Key Laboratory of Automatic Detection Technology and Instrument Foundation"},{"id":"https://openalex.org/G4278621838","display_name":null,"funder_award_id":"62422118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6316143249","display_name":null,"funder_award_id":"61876051,62466005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8996495243","display_name":null,"funder_award_id":"62466005","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/F4320326293","display_name":"Guangxi Key Laboratory of Automatic Detection Technology and Instrument Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1921093919","https://openalex.org/W2150066425","https://openalex.org/W2560609797","https://openalex.org/W2963390820","https://openalex.org/W2963680153","https://openalex.org/W2991216808","https://openalex.org/W2997337685","https://openalex.org/W3034314779","https://openalex.org/W3039448353","https://openalex.org/W3106699132","https://openalex.org/W3113317635","https://openalex.org/W3126856052","https://openalex.org/W3141954417","https://openalex.org/W3167095230","https://openalex.org/W3175676582","https://openalex.org/W3184736166","https://openalex.org/W3203197903","https://openalex.org/W3203597819","https://openalex.org/W4285175752","https://openalex.org/W4287078097","https://openalex.org/W4304080787","https://openalex.org/W4306248206","https://openalex.org/W4310596280","https://openalex.org/W4312437143","https://openalex.org/W4312438583","https://openalex.org/W4312739686","https://openalex.org/W4312933868","https://openalex.org/W4317553477","https://openalex.org/W4321020960","https://openalex.org/W4383200116","https://openalex.org/W4386071814","https://openalex.org/W4386071831","https://openalex.org/W4386075854","https://openalex.org/W4386076253","https://openalex.org/W4387789926","https://openalex.org/W4388034775","https://openalex.org/W4388561559","https://openalex.org/W4389494893","https://openalex.org/W4390480887","https://openalex.org/W4390872297","https://openalex.org/W4390873054","https://openalex.org/W4390873278","https://openalex.org/W4390873521","https://openalex.org/W4392693773","https://openalex.org/W4400229798","https://openalex.org/W4401414033","https://openalex.org/W4402475080","https://openalex.org/W4402702902","https://openalex.org/W4402702982","https://openalex.org/W4402727301","https://openalex.org/W4402727666","https://openalex.org/W4402727867","https://openalex.org/W4408564952","https://openalex.org/W4409311319","https://openalex.org/W4409474092","https://openalex.org/W4411528087","https://openalex.org/W4413472504","https://openalex.org/W4413781227"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"3D":[1,24],"scene":[2],"understanding":[3],"in":[4,79],"outdoor":[5,44],"environments":[6],"heavily":[7],"relies":[8],"on":[9,34,173],"high-quality":[10],"point":[11,28,62,85,94,163],"clouds.":[12],"However,":[13],"LiDAR-scanned":[14],"data":[15],"often":[16],"suffer":[17],"from":[18,97,135],"extreme":[19],"sparsity,":[20],"severely":[21],"hindering":[22],"downstream":[23],"perception":[25,145],"tasks.":[26],"Existing":[27],"cloud":[29,63,86,164],"upsampling":[30,64,165,169],"methods":[31],"primarily":[32],"focus":[33],"individual":[35],"objects,":[36],"thus":[37],"demonstrating":[38],"limited":[39],"generalization":[40],"capability":[41,146],"for":[42,119],"complex":[43],"scenes.":[45],"To":[46,151],"address":[47],"this":[48],"issue,":[49],"we":[50,69,81,105,126],"propose":[51,127],"PVNet,":[52],"a":[53,83,107,128],"diffusion":[54],"model-based":[55],"point-voxel":[56,129],"interaction":[57,130],"framework":[58],"to":[59,75,111,132],"perform":[60],"LiDAR":[61],"without":[65],"dense":[66],"supervision.":[67],"Specifically,":[68],"adopt":[70],"the":[71,77,88,92,102,115,121,143,152,160],"classifier-free":[72],"guidance-based":[73],"DDPMs":[74],"guide":[76],"generation,":[78],"which":[80,140],"employ":[82],"sparse":[84],"as":[87,101],"guiding":[89],"condition":[90],"and":[91,113,138],"synthesized":[93],"clouds":[95],"derived":[96],"its":[98],"nearby":[99],"frames":[100],"input.":[103],"Moreover,":[104],"design":[106],"voxel":[108,117],"completion":[109],"module":[110,131],"refine":[112],"complete":[114],"coarse":[116],"features":[118,134],"enriching":[120],"feature":[122],"representation.":[123],"In":[124],"addition,":[125],"integrate":[133],"both":[136],"points":[137],"voxels,":[139],"efficiently":[141],"improves":[142],"environmental":[144],"of":[147,154],"each":[148],"upsampled":[149],"point.":[150],"best":[153],"our":[155,157,178],"knowledge,":[156],"approach":[158],"is":[159],"first":[161],"scene-level":[162],"method":[166,179],"supporting":[167],"arbitrary":[168],"rates.":[170],"Extensive":[171],"experiments":[172],"various":[174],"benchmarks":[175],"demonstrate":[176],"that":[177],"achieves":[180],"state-of-the-art":[181],"performance.":[182],"The":[183],"source":[184],"code":[185],"will":[186],"be":[187],"available":[188],"at":[189],"https://github.com/chengxianjing/PVNet.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-18T00:00:00"}
