{"id":"https://openalex.org/W7151896113","doi":"https://doi.org/10.48550/arxiv.2604.05908","title":"Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction","display_name":"Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151896113","doi":"https://doi.org/10.48550/arxiv.2604.05908"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121678524","display_name":"Yangyi Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Yangyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133158289","display_name":"Siting Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Siting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133209577","display_name":"Baoquan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Baoquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133210249","display_name":"Tianchen Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Tianchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130190197","display_name":"Yongbo Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yongbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133191477","display_name":"Hesheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hesheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.39309999346733093,"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":0.39309999346733093,"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":0.28360000252723694,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.19110000133514404,"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/decomposition","display_name":"Decomposition","score":0.590399980545044},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5442000031471252},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5210999846458435},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5012999773025513},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.477400004863739},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4422000050544739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4194999933242798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559999823570251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6209999918937683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6007000207901001},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.590399980545044},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5210999846458435},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5012999773025513},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48500001430511475},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.477400004863739},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4178999960422516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3555999994277954},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.3546000123023987},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.35260000824928284},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3443000018596649},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C146168522","wikidata":"https://www.wikidata.org/wiki/Q1068239","display_name":"Radiosity (computer graphics)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05908","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.75666743516922,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-traversal":[0],"scene":[1],"reconstruction":[2],"is":[3,35],"important":[4],"for":[5,62],"high-fidelity":[6],"autonomous":[7],"driving":[8],"simulation":[9],"and":[10,46,98,122,133,143],"digital":[11],"twin":[12],"construction.":[13],"This":[14,54],"task":[15],"involves":[16],"integrating":[17],"multiple":[18],"sequences":[19],"captured":[20],"from":[21],"the":[22,36,50,74,84,89,140,148],"same":[23],"geographical":[24],"area":[25],"at":[26,178],"different":[27],"times.":[28],"In":[29,152],"this":[30,126],"context,":[31],"a":[32,65,107,113,158],"primary":[33],"challenge":[34],"significant":[37],"appearance":[38,71,79,90,171],"inconsistency":[39],"across":[40,81,172],"traversals":[41],"caused":[42],"by":[43],"varying":[44],"illumination":[45,132],"environmental":[47],"conditions,":[48],"despite":[49],"shared":[51],"underlying":[52],"geometry.":[53],"paper":[55],"presents":[56],"ADM-GS":[57],"(Appearance":[58],"Decomposition":[59],"Gaussian":[60],"Splatting":[61],"Multi-Traversal":[63],"Reconstruction),":[64],"framework":[66],"that":[67,111],"applies":[68],"an":[69],"explicit":[70,123],"decomposition":[72],"to":[73,77],"static":[75,85],"background":[76],"alleviate":[78],"entanglement":[80],"traversals.":[82,173],"For":[83],"background,":[86],"we":[87,105],"decompose":[88],"into":[91],"traversal-invariant":[92],"material,":[93],"representing":[94],"intrinsic":[95],"material":[96],"properties,":[97],"traversal-dependent":[99],"illumination,":[100],"capturing":[101],"lighting":[102],"variations.":[103],"Specifically,":[104],"propose":[106],"neural":[108],"light":[109],"field":[110],"utilizes":[112],"frequency-separated":[114],"hybrid":[115],"encoding":[116],"strategy.":[117],"By":[118],"incorporating":[119],"surface":[120],"normals":[121],"reflection":[124],"vectors,":[125],"design":[127],"separately":[128],"captures":[129],"low-frequency":[130],"diffuse":[131],"high-frequency":[134],"specular":[135],"reflections.":[136],"Quantitative":[137],"evaluations":[138],"on":[139],"Argoverse":[141],"2":[142],"Waymo":[144],"Open":[145],"datasets":[146],"demonstrate":[147],"effectiveness":[149],"of":[150],"ADM-GS.":[151],"multi-traversal":[153],"experiments,":[154],"our":[155],"method":[156],"achieves":[157],"+0.98":[159],"dB":[160],"PSNR":[161],"improvement":[162],"over":[163],"existing":[164],"latent-based":[165],"baselines":[166],"while":[167],"producing":[168],"more":[169],"consistent":[170],"Code":[174],"will":[175],"be":[176],"available":[177],"https://github.com/IRMVLab/ADM-GS.":[179]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-09T00:00:00"}