{"id":"https://openalex.org/W2896901907","doi":"https://doi.org/10.1145/3203186","title":"Interactive Sketch-Based Normal Map Generation with Deep Neural Networks","display_name":"Interactive Sketch-Based Normal Map Generation with Deep Neural Networks","publication_year":2018,"publication_date":"2018-07-25","ids":{"openalex":"https://openalex.org/W2896901907","doi":"https://doi.org/10.1145/3203186","mag":"2896901907"},"language":"en","primary_location":{"id":"doi:10.1145/3203186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3203186","pdf_url":null,"source":{"id":"https://openalex.org/S4210220973","display_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","issn_l":"2577-6193","issn":["2577-6193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","raw_type":"journal-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/A5036719284","display_name":"Wanchao Su","orcid":"https://orcid.org/0000-0002-7498-3033"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanchao Su","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019671036","display_name":"Dong Du","orcid":"https://orcid.org/0000-0001-5481-389X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Dong Du","raw_affiliation_strings":["University of Science and Technology of China and City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China and City University of Hong Kong","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068792201","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0002-8046-722X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Dalian University of Technology and City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology and City University of Hong Kong","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030539499","display_name":"Shizhe Zhou","orcid":"https://orcid.org/0000-0002-9641-5483"},"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"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Shizhe Zhou","raw_affiliation_strings":["Hunan University and City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University and City University of Hong Kong","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616579","display_name":"Hongbo Fu","orcid":"https://orcid.org/0000-0002-0284-726X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongbo Fu","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.2786,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.99258848,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"1","issue":"1","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9970999956130981,"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/sketch","display_name":"Sketch","score":0.7902870178222656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7666631937026978},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.734615683555603},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6990267038345337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792697668075562},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.571481466293335},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5142061710357666},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4679139256477356},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43520426750183105},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4249327778816223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.354965478181839},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14837661385536194}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7902870178222656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666631937026978},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.734615683555603},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6990267038345337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792697668075562},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.571481466293335},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5142061710357666},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4679139256477356},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43520426750183105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4249327778816223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.354965478181839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14837661385536194},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3203186","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3203186","pdf_url":null,"source":{"id":"https://openalex.org/S4210220973","display_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","issn_l":"2577-6193","issn":["2577-6193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-138320","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2577-6193&rft.volume=1&rft.issue=1&rft.date=2018&rft.spage=&rft.aulast=Su&rft.aufirst=Wanchao&rft.atitle=Interactive+Sketch-Based+Normal+Map+Generation+with+Deep+Neural+Networks&rft.title=Proceedings+of+the+ACM+on+Computer+Graphics+and+Interactive+Techniques","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6491859697","display_name":null,"funder_award_id":"91748104, 61303147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":39,"referenced_works":["https://openalex.org/W10311529","https://openalex.org/W1899309388","https://openalex.org/W1901129140","https://openalex.org/W1905829557","https://openalex.org/W1965902026","https://openalex.org/W1996135899","https://openalex.org/W1999360130","https://openalex.org/W2006691732","https://openalex.org/W2050543800","https://openalex.org/W2062962742","https://openalex.org/W2097073572","https://openalex.org/W2099471712","https://openalex.org/W2100495367","https://openalex.org/W2106723645","https://openalex.org/W2111869537","https://openalex.org/W2125389028","https://openalex.org/W2147991954","https://openalex.org/W2161141071","https://openalex.org/W2292976057","https://openalex.org/W2342277278","https://openalex.org/W2342877626","https://openalex.org/W2432004435","https://openalex.org/W2546066744","https://openalex.org/W2581485081","https://openalex.org/W2612063021","https://openalex.org/W2621941845","https://openalex.org/W2736761533","https://openalex.org/W2737628014","https://openalex.org/W2738588019","https://openalex.org/W2950701417","https://openalex.org/W2951523806","https://openalex.org/W2951939904","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W2964024144","https://openalex.org/W3000113330","https://openalex.org/W4251535829","https://openalex.org/W4300629176"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2001821990","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2319020389","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345"],"abstract_inverted_index":{"High-quality":[0],"normal":[1,20,41,68,91],"maps":[2,21,42,69,92],"are":[3],"important":[4],"intermediates":[5],"for":[6,18],"representing":[7],"complex":[8],"shapes.":[9],"In":[10,46],"this":[11],"paper,":[12],"we":[13,48,76],"propose":[14],"an":[15],"interactive":[16],"system":[17,55],"generating":[19],"with":[22,43],"the":[23,30,51,78,90,103,108],"help":[24],"of":[25,53,82],"deep":[26],"learning":[27],"techniques.":[28],"Utilizing":[29],"Generative":[31],"Adversarial":[32],"Network":[33],"(GAN)":[34],"framework,":[35],"our":[36,54,83,95],"method":[37,64,96],"produces":[38],"high":[39,66],"quality":[40,67],"sketch":[44],"inputs.":[45],"addition,":[47],"further":[49],"enhance":[50],"interactivity":[52],"by":[56,94],"incorporating":[57],"user-specified":[58],"normals":[59],"at":[60],"selected":[61],"points.":[62],"Our":[63],"generates":[65],"in":[70],"real":[71],"time.":[72],"Through":[73],"comprehensive":[74],"experiments,":[75],"show":[77],"effectiveness":[79],"and":[80],"robustness":[81],"method.":[84],"A":[85],"thorough":[86],"user":[87],"study":[88],"indicates":[89],"generated":[93],"achieve":[97],"a":[98],"lower":[99],"perceptual":[100],"difference":[101],"from":[102],"ground":[104],"truth":[105],"compared":[106],"to":[107],"alternative":[109],"methods.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}