{"id":"https://openalex.org/W4408352746","doi":"https://doi.org/10.1109/icassp49660.2025.10887854","title":"TextHair3D: Text-driven 3D Hair Editing with Generative Priors","display_name":"TextHair3D: Text-driven 3D Hair Editing with Generative Priors","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352746","doi":"https://doi.org/10.1109/icassp49660.2025.10887854"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887854","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":"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/A5042251931","display_name":"Xiaoxue Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoxue Li","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098770941","display_name":"Huilong Pi","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilong Pi","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029456141","display_name":"Yunchuan Qin","orcid":"https://orcid.org/0000-0003-2115-858X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunchuan Qin","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080205862","display_name":"Ruihui Li","orcid":"https://orcid.org/0000-0002-4266-6420"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihui Li","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042251931"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05675756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12290","display_name":"Human Motion and Animation","score":0.8691999912261963,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T12290","display_name":"Human Motion and Animation","score":0.8691999912261963,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.8496999740600586,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8220999836921692,"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/computer-science","display_name":"Computer science","score":0.690199077129364},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.664665937423706},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6600157618522644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43049874901771545},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.065621018409729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690199077129364},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.664665937423706},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6600157618522644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43049874901771545},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.065621018409729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887854","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":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2122572959","https://openalex.org/W2962770929","https://openalex.org/W2964449965","https://openalex.org/W3034521057","https://openalex.org/W3035574324","https://openalex.org/W3035693354","https://openalex.org/W3173102319","https://openalex.org/W4200150166","https://openalex.org/W4312453532","https://openalex.org/W4312971576","https://openalex.org/W4379527433","https://openalex.org/W4386072393","https://openalex.org/W4390872951","https://openalex.org/W4390873658","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074"],"abstract_inverted_index":{"Text-driven":[0],"hair":[1,25,36,90],"editing":[2,26,91],"on":[3],"3D":[4,24,30,93],"heads":[5],"is":[6],"a":[7,21,68],"challenging":[8],"problem":[9],"in":[10,101],"computer":[11],"vision":[12],"and":[13,41,61,76,92,104],"graphics.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18,66],"propose":[19],"TextHair3D,":[20],"NeRF-based":[22],"text-driven":[23],"method":[27],"that":[28],"uses":[29,46],"perception":[31],"to":[32,53,73],"generate":[33],"priors,":[34],"edit":[35],"attributes":[37],"from":[38],"user-provided":[39],"text,":[40],"preserve":[42],"facial":[43],"features.":[44],"TextHair3D":[45],"the":[47,59],"Contrastive":[48],"Language-Image":[49],"Pre-training":[50],"(CLIP)":[51],"model":[52],"encode":[54],"textual":[55],"conditions.":[56],"To":[57],"address":[58],"complexity":[60],"roughness":[62],"of":[63],"local":[64],"editing,":[65],"design":[67],"combined":[69],"conditional":[70],"mapping":[71],"module":[72],"map":[74],"image":[75],"text":[77],"conditions":[78],"into":[79],"latent":[80],"space":[81],"for":[82],"learning":[83],"generative":[84],"priors.":[85],"This":[86],"enables":[87],"high-quality,":[88],"photo-realistic":[89],"head":[94],"reproduction.":[95],"Extensive":[96],"experiments":[97],"show":[98],"Tex-tHair3D\u2019s":[99],"superiority":[100],"visual":[102],"realism":[103],"attribute":[105],"accuracy.":[106]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}