{"id":"https://openalex.org/W4416782363","doi":"https://doi.org/10.1142/s1793962325500813","title":"3DWPGS: End-to-end 3D Gaussian splatting for woody-plant modeling and physical simulation","display_name":"3DWPGS: End-to-end 3D Gaussian splatting for woody-plant modeling and physical simulation","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W4416782363","doi":"https://doi.org/10.1142/s1793962325500813"},"language":"en","primary_location":{"id":"doi:10.1142/s1793962325500813","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962325500813","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"},"type":"article","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/A5065076166","display_name":"Weilong Ding","orcid":"https://orcid.org/0000-0001-6910-0075"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Long Ding","raw_affiliation_strings":["College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-6910-0075","affiliations":[{"raw_affiliation_string":"College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, P. R. China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059110449","display_name":"Hao-Han Chen","orcid":"https://orcid.org/0000-0001-6617-8627"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-Han Chen","raw_affiliation_strings":["College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-6617-8627","affiliations":[{"raw_affiliation_string":"College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, P. R. China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025769631","display_name":"J. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Guang Zhang","raw_affiliation_strings":["A State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-8212-1361","affiliations":[{"raw_affiliation_string":"A State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Zhou","orcid":"https://orcid.org/0009-0002-9623-2975"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Information Service Center, Wenzhou Business College, Wenzhou, Zhejiang 325035, P. R. China"],"raw_orcid":"https://orcid.org/0009-0002-9623-2975","affiliations":[{"raw_affiliation_string":"Information Service Center, Wenzhou Business College, Wenzhou, Zhejiang 325035, P. R. China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":null,"display_name":"Li-Feng Xu","orcid":"https://orcid.org/0000-0003-4957-7559"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Feng Xu","raw_affiliation_strings":["College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-4957-7559","affiliations":[{"raw_affiliation_string":"College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, P. R. China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29949732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.2606000006198883,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.2606000006198883,"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/T12729","display_name":"Tree Root and Stability Studies","score":0.1738000065088272,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.11699999868869781,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6284999847412109},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6037999987602234},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.48669999837875366},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.40230000019073486},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.40139999985694885},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3968000113964081},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.38199999928474426},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.3772999942302704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282999753952026},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6284999847412109},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6037999987602234},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.48669999837875366},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38119998574256897},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.35749998688697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3327000141143799},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.31540000438690186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.27639999985694885},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793962325500813","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962325500813","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5946919625","display_name":null,"funder_award_id":"32271983","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2000690667","https://openalex.org/W2010403194","https://openalex.org/W2034205349","https://openalex.org/W2062199832","https://openalex.org/W2079664387","https://openalex.org/W2122796335","https://openalex.org/W2142004868","https://openalex.org/W2166051912","https://openalex.org/W2172081191","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2769265803","https://openalex.org/W3031883024","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4310443815","https://openalex.org/W4312839164","https://openalex.org/W4383109035","https://openalex.org/W4385318467","https://openalex.org/W4386076284","https://openalex.org/W4387502952","https://openalex.org/W4389539278","https://openalex.org/W4390874575","https://openalex.org/W4391513581","https://openalex.org/W4393246383","https://openalex.org/W4393248012","https://openalex.org/W4402715988","https://openalex.org/W4402716153","https://openalex.org/W4402727760","https://openalex.org/W4402753826","https://openalex.org/W4403562064"],"related_works":[],"abstract_inverted_index":{"The":[0],"3D":[1,30,104],"reconstruction":[2,31,85,105,180,259],"and":[3,15,25,50,86,106,132,159,204,213,250,266],"physical":[4,62,107,184,208,274],"simulation":[5,108,185],"of":[6,12,69,76,84,102,136,153,229,240,272],"plants":[7,243],"in":[8,18,56],"natural":[9],"scenes":[10],"are":[11,199],"significant":[13],"research":[14],"practical":[16],"value":[17],"fields":[19],"such":[20],"as":[21],"agronomy,":[22],"forestry,":[23],"ecology,":[24],"remote":[26],"sensing.":[27],"However,":[28],"mainstream":[29],"methods":[32,64],"generally":[33],"focus":[34],"on":[35,237],"geometric":[36],"detail":[37],"recovery":[38],"but":[39,224],"lack":[40],"integration":[41],"with":[42,175],"physics-driven":[43],"approaches,":[44],"making":[45],"it":[46],"challenging":[47],"to":[48,127,148,172,201,256],"accurately":[49],"efficiently":[51],"simulate":[52,66],"the":[53,60,82,134,145,162,169,183,187,227,238,269],"dynamic":[54],"changes":[55],"plant":[57,119,258,273],"structures.":[58],"Although":[59],"latest":[61],"Gaussian":[63,95,163,170,197,211,262],"can":[65],"a":[67,100,117,205,251],"variety":[68],"nonrigid":[70],"deformations,":[71],"there":[72],"is":[73,96,99,166],"limited":[74],"consideration":[75],"plant-specific":[77],"structural":[78],"features,":[79],"which":[80,98],"affects":[81],"accuracy":[83,135],"simulation.":[87],"To":[88],"address":[89],"this":[90,125],"challenge,":[91],"an":[92],"end-to-end":[93],"woody-plant":[94,261],"proposed,":[97],"framework":[101,113,188,236],"high-precision":[103],"for":[109,124],"woody":[110,242],"plants.":[111],"This":[112,217],"begins":[114],"by":[115],"fine-tuning":[116],"pre-trained":[118],"instance":[120],"segmentation":[121],"model":[122,209],"tailored":[123],"purpose":[126],"reduce":[128],"environmental":[129],"noise":[130],"interference":[131],"improve":[133],"skeleton":[137],"extraction":[138],"from":[139],"point":[140,164],"cloud":[141],"data.":[142],"It":[143],"leverages":[144],"extracted":[146],"topology":[147],"guide":[149],"fine-grained":[150],"hierarchical":[151,157],"classification":[152],"branches.":[154],"By":[155],"segmenting":[156],"radii":[158],"cross-sectional":[160],"proportions,":[161],"distribution":[165],"constrained,":[167],"enabling":[168],"ellipsoids":[171,198],"better":[173],"align":[174],"branch":[176,202],"surfaces,":[177],"thereby":[178],"enhancing":[179],"details.":[181],"In":[182],"stage,":[186],"incorporates":[189],"material":[190],"property":[191],"variation":[192],"rules.":[193],"Using":[194],"topological":[195],"guidance,":[196],"mapped":[200],"hierarchies,":[203],"cantilever":[206],"beam":[207],"predicts":[210],"distributions":[212],"covariance":[214],"matrix":[215],"parameters.":[216],"approach":[218],"not":[219],"only":[220],"improves":[221,268],"rendering":[222],"quality":[223,271],"also":[225],"enhances":[226],"realism":[228],"branch-bending":[230],"simulations.":[231,275],"Finally,":[232],"we":[233,244],"evaluate":[234],"our":[235],"photos":[239],"real":[241],"took":[245],"(3D":[246],"deformable":[247],"wood":[248],"plant)":[249],"public":[252],"dataset":[253],"(NeRF-synthetic).":[254],"Compared":[255],"existing":[257],"methods,":[260],"achieves":[263],"state-of-the-art":[264],"performance":[265],"significantly":[267],"visual":[270]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-28T00:00:00"}
