{"id":"https://openalex.org/W4414762919","doi":"https://doi.org/10.1109/3dv69130.2026.00143","title":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","display_name":"A Scalable Attention-Based Approach for Image-to-3D Texture Mapping","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4414762919","doi":"https://doi.org/10.1109/3dv69130.2026.00143"},"language":"en","primary_location":{"id":"doi:10.1109/3dv69130.2026.00143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.05131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011500815","display_name":"Arianna Rampini","orcid":null},"institutions":[{"id":"https://openalex.org/I1286353243","display_name":"Autodesk (United States)","ror":"https://ror.org/00pkt4594","country_code":"US","type":"company","lineage":["https://openalex.org/I1286353243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arianna Rampini","raw_affiliation_strings":["Autodesk Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autodesk Research","institution_ids":["https://openalex.org/I1286353243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049492615","display_name":"Kanika Madan","orcid":null},"institutions":[{"id":"https://openalex.org/I1286353243","display_name":"Autodesk (United States)","ror":"https://ror.org/00pkt4594","country_code":"US","type":"company","lineage":["https://openalex.org/I1286353243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kanika Madan","raw_affiliation_strings":["Autodesk Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autodesk Research","institution_ids":["https://openalex.org/I1286353243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024292259","display_name":"Bruno Roy","orcid":"https://orcid.org/0000-0002-7498-7149"},"institutions":[{"id":"https://openalex.org/I1286353243","display_name":"Autodesk (United States)","ror":"https://ror.org/00pkt4594","country_code":"US","type":"company","lineage":["https://openalex.org/I1286353243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruno Roy","raw_affiliation_strings":["Autodesk Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autodesk Research","institution_ids":["https://openalex.org/I1286353243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056349766","display_name":"AmirHossein Zamani","orcid":"https://orcid.org/0009-0007-0866-5700"},"institutions":[{"id":"https://openalex.org/I1286353243","display_name":"Autodesk (United States)","ror":"https://ror.org/00pkt4594","country_code":"US","type":"company","lineage":["https://openalex.org/I1286353243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"AmirHossein Zamani","raw_affiliation_strings":["Mila &#x0026; Autodesk Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mila &#x0026; Autodesk Research","institution_ids":["https://openalex.org/I1286353243"]}]},{"author_position":"last","author":{"id":null,"display_name":"Derek Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I1286353243","display_name":"Autodesk (United States)","ror":"https://ror.org/00pkt4594","country_code":"US","type":"company","lineage":["https://openalex.org/I1286353243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek Cheung","raw_affiliation_strings":["Autodesk Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autodesk Research","institution_ids":["https://openalex.org/I1286353243"]}]}],"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":0.00528341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1501","last_page":"1510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.767799973487854,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.767799973487854,"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/texture","display_name":"Texture (cosmology)","score":0.5638999938964844},{"id":"https://openalex.org/keywords/projective-texture-mapping","display_name":"Projective texture mapping","score":0.5257999897003174},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4869000017642975},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.45739999413490295},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44839999079704285},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.44269999861717224},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4350999891757965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43479999899864197},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.4185999929904938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876999735832214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5981000065803528},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5638999938964844},{"id":"https://openalex.org/C78289832","wikidata":"https://www.wikidata.org/wiki/Q7249473","display_name":"Projective texture mapping","level":5,"score":0.5257999897003174},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4869000017642975},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.45739999413490295},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.44269999861717224},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.4185999929904938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4052000045776367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3977999985218048},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3346000015735626},{"id":"https://openalex.org/C165164221","wikidata":"https://www.wikidata.org/wiki/Q261078","display_name":"Bidirectional texture function","level":5,"score":0.3237999975681305},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/3dv69130.2026.00143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.05131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.05131","pdf_url":"https://arxiv.org/pdf/2509.05131","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.05131","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.05131","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":"pmh:oai:arXiv.org:2509.05131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.05131","pdf_url":"https://arxiv.org/pdf/2509.05131","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"High-quality":[0],"textures":[1,87],"are":[2,13],"critical":[3],"for":[4,55,135],"realistic":[5],"3D":[6,41,140],"content":[7,141],"creation,":[8],"yet":[9],"existing":[10],"generative":[11],"methods":[12],"slow,":[14],"rely":[15],"on":[16,116],"UV":[17,56],"maps,":[18],"and":[19,49,58,61,79,105,129,138],"often":[20],"fail":[21],"to":[22,25,125],"remain":[23],"faithful":[24],"a":[26,35,40,46,50,69,89],"reference":[27],"image.":[28],"To":[29],"address":[30],"these":[31],"challenges,":[32],"we":[33],"propose":[34],"transformer-based":[36],"framework":[37],"that":[38,110],"predicts":[39],"texture":[42,64,118],"field":[43],"directly":[44],"from":[45],"single":[47,90],"image":[48,128],"mesh,":[51],"eliminating":[52],"the":[53,126],"need":[54],"mapping":[57],"differentiable":[59],"rendering,":[60],"enabling":[62,76],"faster":[63,80],"generation.":[65],"Our":[66],"method":[67,112],"integrates":[68],"triplane":[70],"representation":[71],"with":[72],"depth-based":[73],"backprojection":[74],"losses,":[75],"efficient":[77],"training":[78],"inference.":[81],"Once":[82],"trained,":[83],"it":[84],"generates":[85],"high-fidelity":[86],"in":[88,120],"forward":[91],"pass,":[92],"requiring":[93],"only":[94],"<tex":[95],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[96],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\sim":[97],"0.2":[98],"s$</tex>":[99],"per":[100],"shape.":[101],"Extensive":[102],"qualitative,":[103],"quantitative,":[104],"user":[106],"preference":[107],"evaluations":[108],"demonstrate":[109],"our":[111],"outperforms":[113],"state-of-the-art":[114],"baselines":[115],"single-image":[117],"reconstruction":[119],"terms":[121],"of":[122],"both":[123],"fidelity":[124],"input":[127],"perceptual":[130],"quality,":[131],"highlighting":[132],"its":[133],"practicality":[134],"scalable,":[136],"highquality,":[137],"controllable":[139],"creation.":[142]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}