{"id":"https://openalex.org/W4393158329","doi":"https://doi.org/10.1609/aaai.v38i2.27856","title":"Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction","display_name":"Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction","publication_year":2024,"publication_date":"2024-03-24","ids":{"openalex":"https://openalex.org/W4393158329","doi":"https://doi.org/10.1609/aaai.v38i2.27856"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v38i2.27856","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i2.27856","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/27856/27738","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/27856/27738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073491544","display_name":"Kennard Yanting Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kennard Yanting Chan","raw_affiliation_strings":["Nanyang Technological University, Singapore\nInstitute for Infocomm Research, A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore\nInstitute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I172675005","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042271198","display_name":"Fayao Liu","orcid":"https://orcid.org/0000-0001-6649-7660"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Fayao Liu","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029912845","display_name":"Guosheng Lin","orcid":"https://orcid.org/0000-0002-0329-7458"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guosheng Lin","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001103949","display_name":"Chuan-Sheng Foo","orcid":"https://orcid.org/0000-0002-4748-5792"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chuan Sheng Foo","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Singapore\nCentre for Frontier AI Research, A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore\nCentre for Frontier AI Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.472,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93992248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"38","issue":"2","first_page":"964","last_page":"971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9825000166893005,"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":0.9825000166893005,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9704999923706055,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9257000088691711,"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/computer-science","display_name":"Computer science","score":0.7678102254867554},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6922664642333984},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6575392484664917},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6556799411773682},{"id":"https://openalex.org/keywords/sampling-scheme","display_name":"Sampling scheme","score":0.6063277125358582},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5698668956756592},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5662897825241089},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5658906102180481},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5648444890975952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49072301387786865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42025405168533325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4137609601020813},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3837680518627167},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.18663138151168823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1273980438709259},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.09631228446960449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678102254867554},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6922664642333984},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6575392484664917},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6556799411773682},{"id":"https://openalex.org/C2985139394","wikidata":"https://www.wikidata.org/wiki/Q49908","display_name":"Sampling scheme","level":3,"score":0.6063277125358582},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5698668956756592},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5662897825241089},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5658906102180481},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5648444890975952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49072301387786865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42025405168533325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4137609601020813},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3837680518627167},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.18663138151168823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1273980438709259},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.09631228446960449},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v38i2.27856","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i2.27856","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/27856/27738","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2402.19197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.19197","pdf_url":"https://arxiv.org/pdf/2402.19197","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ojs.aaai.org:article/27856","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/27856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v38i2.27856","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i2.27856","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/27856/27738","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G945082208","display_name":null,"funder_award_id":"M23L7b00 21","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393158329.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2044618760","https://openalex.org/W2229412420","https://openalex.org/W2307770531","https://openalex.org/W2596210417","https://openalex.org/W2774625825","https://openalex.org/W2811426698","https://openalex.org/W2921745007","https://openalex.org/W2939665722","https://openalex.org/W2944736082","https://openalex.org/W2962921964","https://openalex.org/W2963800363","https://openalex.org/W2963995996","https://openalex.org/W2967247499","https://openalex.org/W2975401428","https://openalex.org/W2978956737","https://openalex.org/W2979283733","https://openalex.org/W2981637078","https://openalex.org/W2981978060","https://openalex.org/W3014169829","https://openalex.org/W3035291735","https://openalex.org/W3041416670","https://openalex.org/W3108707969","https://openalex.org/W3115372334","https://openalex.org/W3156223132","https://openalex.org/W3159395252","https://openalex.org/W3174025609","https://openalex.org/W3175408382","https://openalex.org/W4224231820","https://openalex.org/W4226160668","https://openalex.org/W4233857083","https://openalex.org/W4287545189","https://openalex.org/W4288796009","https://openalex.org/W4309204980","https://openalex.org/W4312972648","https://openalex.org/W4313175219","https://openalex.org/W6661773122","https://openalex.org/W6746796658","https://openalex.org/W6753671699","https://openalex.org/W6757742254","https://openalex.org/W6775824313","https://openalex.org/W6811027681"],"related_works":["https://openalex.org/W2370474211","https://openalex.org/W2510070654","https://openalex.org/W2299309501","https://openalex.org/W2793935943","https://openalex.org/W2616810199","https://openalex.org/W1984126792","https://openalex.org/W2029798048","https://openalex.org/W1578872220","https://openalex.org/W1993292271","https://openalex.org/W2067626990"],"abstract_inverted_index":{"Pixel-aligned":[0],"implicit":[1,65,126,143],"models,":[2],"such":[3],"as":[4],"PIFu,":[5],"PIFuHD,":[6],"and":[7,82,160],"ICON,":[8],"are":[9],"used":[10],"for":[11,67,124],"single-view":[12,68],"clothed":[13],"human":[14,69],"reconstruction.":[15,70],"These":[16],"models":[17,66],"need":[18],"to":[19,33,62,79,107,111,132],"be":[20,101],"trained":[21],"using":[22],"a":[23,57,119,137],"sampling":[24,28,59,90],"training":[25,29,60,91,105,115],"scheme.":[26],"Existing":[27],"schemes":[30],"either":[31],"fail":[32],"capture":[34],"thin":[35],"surfaces":[36],"(e.g.":[37],"ears,":[38],"fingers)":[39],"or":[40],"cause":[41],"noisy":[42],"artefacts":[43],"in":[44,103],"reconstructed":[45],"meshes.":[46],"To":[47],"address":[48],"these":[49],"problems,":[50],"we":[51],"introduce":[52,133],"Fine":[53],"Structured-Aware":[54],"Sampling":[55],"(FSS),":[56],"new":[58],"scheme":[61],"train":[63],"pixel-aligned":[64,125,142],"FSS":[71,93,117],"resolves":[72],"the":[73,80,104,114,141],"aforementioned":[74],"problems":[75],"by":[76],"proactively":[77],"adapting":[78],"thickness":[81,121],"complexity":[83],"of":[84,97,140],"surfaces.":[85],"In":[86],"addition,":[87],"unlike":[88],"existing":[89],"schemes,":[92],"shows":[94],"how":[95],"normals":[96],"sample":[98],"points":[99],"can":[100],"capitalized":[102],"process":[106],"improve":[108,113],"results.":[109],"Lastly,":[110],"further":[112],"process,":[116],"proposes":[118],"mesh":[120],"loss":[122,135],"signal":[123],"models.":[127],"It":[128],"becomes":[129],"computationally":[130],"feasible":[131],"this":[134],"once":[136],"slight":[138],"reworking":[139],"function":[144],"framework":[145],"is":[146,164],"carried":[147],"out.":[148],"Our":[149,162],"results":[150],"show":[151],"that":[152],"our":[153],"methods":[154,158],"significantly":[155],"outperform":[156],"SOTA":[157],"qualitatively":[159],"quantitatively.":[161],"code":[163],"publicly":[165],"available":[166],"at":[167],"https://github.com/kcyt/FSS.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
