{"id":"https://openalex.org/W4200086292","doi":"https://doi.org/10.1145/3490035.3490293","title":"Coarse-to-fine 3D clothed human reconstruction using peeled semantic segmentation context","display_name":"Coarse-to-fine 3D clothed human reconstruction using peeled semantic segmentation context","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4200086292","doi":"https://doi.org/10.1145/3490035.3490293"},"language":"en","primary_location":{"id":"doi:10.1145/3490035.3490293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490035.3490293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5049768096","display_name":"Snehith Goud Routhu","orcid":"https://orcid.org/0000-0003-2159-2861"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Snehith Goud Routhu","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051843746","display_name":"Sai Sagar Jinka","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Sagar Jinka","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060714797","display_name":"Avinash Sharma","orcid":"https://orcid.org/0000-0001-5013-5024"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinash Sharma","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049768096"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.3503,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56150822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9962999820709229,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9944000244140625,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8210885524749756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7543843984603882},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7039667367935181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6311516761779785},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5621971487998962},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5611953139305115},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5549688935279846},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4673505127429962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44444042444229126},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41802114248275757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08857053518295288}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8210885524749756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543843984603882},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7039667367935181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6311516761779785},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5621971487998962},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5611953139305115},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5549688935279846},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4673505127429962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44444042444229126},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41802114248275757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08857053518295288},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490035.3490293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490035.3490293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2008073424","https://openalex.org/W2009422376","https://openalex.org/W2576289912","https://openalex.org/W2737762407","https://openalex.org/W2811426698","https://openalex.org/W2890335171","https://openalex.org/W2894878561","https://openalex.org/W2962849139","https://openalex.org/W2963732450","https://openalex.org/W2971467054","https://openalex.org/W2974180492","https://openalex.org/W2979283733","https://openalex.org/W2991621301","https://openalex.org/W3034968345","https://openalex.org/W3109394508","https://openalex.org/W4233857083"],"related_works":["https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W1991834176","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W2131956013","https://openalex.org/W2036566443","https://openalex.org/W1522196789"],"abstract_inverted_index":{"3D":[0,185],"reconstruction":[1],"of":[2,44,54,93,117,184,188,205],"human":[3],"body":[4,68],"model":[5,47,111],"from":[6,121],"a":[7,30,87,94,148],"monocular":[8,135,163],"image":[9,137,165],"is":[10,48],"an":[11,181],"under-constrained":[12],"and":[13,59,61,70,101,175],"challenging":[14],"yet":[15],"desired":[16],"research":[17],"problem":[18],"in":[19,86,147],"computer":[20],"vision.":[21],"Recently":[22],"proposed":[23,79],"multi-layered":[24],"shape":[25],"representation":[26,34,85],"called":[27],"PeeledHuman":[28,46,108],"attempted":[29],"sparse":[31,58],"non-parametric":[32],"2D":[33],"that":[35,49],"can":[36],"handle":[37],"severe":[38],"self-occlusion.":[39],"However,":[40],"the":[41,50,171,189],"key":[42],"limitation":[43],"their":[45],"predicted":[51],"depth":[52,119],"maps":[53,120,127,146,157],"self-occluded":[55],"parts":[56,69],"are":[57,128],"noisy,":[60],"hence":[62],"after":[63],"back-projection":[64],"lead":[65],"to":[66,80,112,138,166,202],"distorted":[67],"sometimes":[71],"with":[72,134,162],"discontinuity":[73],"between":[74],"them.":[75],"In":[76],"this":[77],"work,":[78],"introduce":[81],"Peeled":[82,144],"Segmentation":[83,145],"map":[84],"coarse-to-fine":[88],"refinement":[89],"framework":[90],"which":[91,142,169],"consist":[92],"cascade":[95],"three":[96],"networks":[97],"namely,":[98],"PeelGAN,":[99],"PSegGAN":[100,141],"RefGAN.":[102],"At":[103],"first,":[104],"we":[105,152],"use":[106],"original":[107],"as":[109,131,158],"baseline":[110],"predict":[113,143],"initial":[114],"coarse":[115],"estimation":[116],"peeled":[118,126,155,173],"input":[122,132,164],"RGB":[123,136],"image.":[124],"These":[125],"subsequently":[129],"fed":[130],"along":[133,161],"our":[139,167,206],"novel":[140],"generative":[149],"fashion.":[150],"Finally,":[151],"feed":[153],"these":[154],"segmentation":[156,187],"additional":[159,182],"context":[160],"RefGAN":[168],"predicts":[170],"refined":[172],"RBG":[174],"Depth":[176],"maps.":[177],"This":[178],"also":[179],"provides":[180],"output":[183],"semantic":[186],"reconstructed":[190],"shape.":[191],"We":[192],"perform":[193],"thorough":[194],"empirical":[195],"evaluation":[196],"over":[197],"four":[198],"publicly":[199],"available":[200],"datasets":[201],"demonstrate":[203],"superiority":[204],"model.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}