{"id":"https://openalex.org/W7151218935","doi":"https://doi.org/10.48550/arxiv.2604.03716","title":"CGHair: Compact Gaussian Hair Reconstruction with Card Clustering","display_name":"CGHair: Compact Gaussian Hair Reconstruction with Card Clustering","publication_year":2026,"publication_date":"2026-04-04","ids":{"openalex":"https://openalex.org/W7151218935","doi":"https://doi.org/10.48550/arxiv.2604.03716"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03716","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03716","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110804738","display_name":"Haimin Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Luo, Haimin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090068402","display_name":"Srinjay Sarkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarkar, Srinjay","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133082609","display_name":"Albert Mosella-Montoro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mosella-Montoro, Albert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047750700","display_name":"Francisco Vicente Carrasco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carrasco, Francisco Vicente","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133071372","display_name":"Fernando De la Torre","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De la Torre, Fernando","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110804738"],"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.5429999828338623,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.5429999828338623,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.3086000084877014,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10080000013113022,"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/rendering","display_name":"Rendering (computer graphics)","score":0.6283000111579895},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5412999987602234},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48899999260902405},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4496999979019165},{"id":"https://openalex.org/keywords/visual-hull","display_name":"Visual hull","score":0.43070000410079956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4138000011444092},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.39149999618530273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757000088691711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589999794960022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6377000212669373},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6283000111579895},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5412999987602234},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.43070000410079956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.39149999618530273},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38040000200271606},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C18766215","wikidata":"https://www.wikidata.org/wiki/Q7708532","display_name":"Texture memory","level":5,"score":0.30309998989105225},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03716","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03716","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,44,83,95,102],"compact":[3],"pipeline":[4],"for":[5],"high-fidelity":[6],"hair":[7,37,51],"reconstruction":[8,70,107],"from":[9,94],"multi-view":[10],"images.":[11,98],"While":[12],"recent":[13],"3D":[14],"Gaussian":[15],"Splatting":[16],"(3DGS)":[17],"methods":[18],"achieve":[19,110],"realistic":[20],"results,":[21],"they":[22],"often":[23],"require":[24],"millions":[25],"of":[26,97],"primitives,":[27],"leading":[28],"to":[29,88],"high":[30],"storage":[31,73],"and":[32,40,53,72,109],"rendering":[33,112],"costs.":[34],"Observing":[35],"that":[36],"exhibits":[38],"structural":[39],"visual":[41,77],"similarities":[42],"across":[43],"hairstyle,":[45],"we":[46,81],"cluster":[47],"strands":[48],"into":[49,56],"representative":[50],"cards":[52],"group":[54],"these":[55],"shared":[57],"texture":[58],"codebooks.":[59],"Our":[60,99],"approach":[61],"integrates":[62],"this":[63],"structure":[64],"with":[65,114],"3DGS":[66],"rendering,":[67],"significantly":[68],"reducing":[69],"time":[71,108],"while":[74],"maintaining":[75],"comparable":[76,111],"quality.":[78],"In":[79],"addition,":[80],"propose":[82],"generative":[84],"prior":[85],"accelerated":[86],"method":[87],"reconstruct":[89],"the":[90],"initial":[91],"strand":[92,106],"geometry":[93],"set":[96],"experiments":[100],"demonstrate":[101],"4-fold":[103],"reduction":[104],"in":[105],"performance":[113],"over":[115],"200x":[116],"lower":[117],"memory":[118],"footprint.":[119]},"counts_by_year":[],"updated_date":"2026-04-08T06:07:18.267832","created_date":"2026-04-08T00:00:00"}
