{"id":"https://openalex.org/W4409248755","doi":"https://doi.org/10.1109/wacv61041.2025.00293","title":"Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction","display_name":"Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4409248755","doi":"https://doi.org/10.1109/wacv61041.2025.00293"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61041.2025.00293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/b6ff46bc-65fa-4ea4-ba81-72a3efb2485d","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102749043","display_name":"Thomas Walker","orcid":"https://orcid.org/0000-0003-0916-2076"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas Walker","raw_affiliation_strings":["University Of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038701850","display_name":"Octave Mariotti","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Octave Mariotti","raw_affiliation_strings":["University Of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003150364","display_name":"Amir Vaxman","orcid":"https://orcid.org/0000-0001-6998-6689"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amir Vaxman","raw_affiliation_strings":["University Of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056977175","display_name":"Hakan Bilen","orcid":"https://orcid.org/0000-0002-6947-6918"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hakan Bilen","raw_affiliation_strings":["University Of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.05663057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2963","last_page":"2972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9695000052452087,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9693999886512756,"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/hash-function","display_name":"Hash function","score":0.7252516150474548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706945538520813},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.5667202472686768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42534345388412476},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.3961753845214844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34318286180496216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13755962252616882}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7252516150474548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706945538520813},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.5667202472686768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42534345388412476},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3961753845214844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34318286180496216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13755962252616882},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv61041.2025.00293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61041.2025.00293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/b6ff46bc-65fa-4ea4-ba81-72a3efb2485d","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/b6ff46bc-65fa-4ea4-ba81-72a3efb2485d","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Walker, T, Mariotti, O, Vaxman, A & Bilen, H 2025, Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction. in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, Institute of Electrical and Electronics Engineers, pp. 2963-2972, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, United States, 28/02/25. https://doi.org/10.1109/WACV61041.2025.00293","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/b6ff46bc-65fa-4ea4-ba81-72a3efb2485d","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/b6ff46bc-65fa-4ea4-ba81-72a3efb2485d","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Walker, T, Mariotti, O, Vaxman, A & Bilen, H 2025, Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction. in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, Institute of Electrical and Electronics Engineers, pp. 2963-2972, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, United States, 28/02/25. https://doi.org/10.1109/WACV61041.2025.00293","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1667249920","https://openalex.org/W2129404737","https://openalex.org/W2338968644","https://openalex.org/W2471962767","https://openalex.org/W2738551266","https://openalex.org/W2905288042","https://openalex.org/W2973014570","https://openalex.org/W3034196047","https://openalex.org/W3184957317","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4256017923","https://openalex.org/W4312679369","https://openalex.org/W4386066812","https://openalex.org/W4386071528","https://openalex.org/W4390872996","https://openalex.org/W6637242042","https://openalex.org/W6739901393","https://openalex.org/W6780179280","https://openalex.org/W6781421651","https://openalex.org/W6796907879","https://openalex.org/W6798033281","https://openalex.org/W6843265085"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Positional":[0],"encodings":[1],"are":[2],"a":[3,13,33,39,69,82,107],"common":[4],"component":[5],"of":[6,19,42,84,90,110],"neural":[7,20,28],"scene":[8],"reconstruction":[9,30,54,123],"methods,":[10],"and":[11,45,125],"provide":[12],"way":[14],"to":[15,36,63,76,105],"bias":[16],"the":[17,74,88,103],"learning":[18],"fields":[21],"towards":[22],"coarser":[23],"or":[24],"finer":[25],"representations.":[26],"Current":[27,51],"surface":[29,53,122],"methods":[31],"use":[32],"\u201cone-size-fits-all\u201d":[34],"approach":[35,71,101,118],"encoding,":[37],"choosing":[38],"fixed":[40],"set":[41],"encoding":[43,60,79],"functions,":[44],"therefore":[46],"bias,":[47],"across":[48],"all":[49],"scenes.":[50],"state-of-the-art":[52,127],"approaches":[55],"leverage":[56],"grid-based":[57],"multi-resolution":[58],"hash":[59],"in":[61],"order":[62],"recover":[64],"high-detail":[65],"geometry.":[66],"We":[67,115],"propose":[68],"learned":[70],"which":[72],"allows":[73,102],"network":[75,104],"choose":[77],"its":[78],"basis":[80],"as":[81],"function":[83],"space,":[85],"by":[86],"masking":[87],"contribution":[89],"features":[91],"stored":[92],"at":[93],"separate":[94],"grid":[95],"resolutions.":[96],"The":[97],"resulting":[98],"spatially":[99],"adaptive":[100],"fit":[106],"wider":[108],"range":[109],"frequencies":[111],"without":[112],"introducing":[113],"noise.":[114],"test":[116],"our":[117],"on":[119,129],"standard":[120],"benchmark":[121,131],"datasets":[124],"achieve":[126],"performance":[128],"two":[130],"datasets.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
