{"id":"https://openalex.org/W3181444857","doi":"https://doi.org/10.1109/iccp51581.2021.9466269","title":"DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering","display_name":"DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering","publication_year":2021,"publication_date":"2021-05-23","ids":{"openalex":"https://openalex.org/W3181444857","doi":"https://doi.org/10.1109/iccp51581.2021.9466269","mag":"3181444857"},"language":"en","primary_location":{"id":"doi:10.1109/iccp51581.2021.9466269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp51581.2021.9466269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Computational Photography (ICCP)","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/A5101873047","display_name":"Yongjie Zhu","orcid":"https://orcid.org/0000-0002-3828-6839"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongjie Zhu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications,China","School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008802390","display_name":"Jiajun Tang","orcid":"https://orcid.org/0000-0002-0254-9764"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Tang","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University,Department of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University,Department of Computer Science and Technology,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391315","display_name":"Si Li","orcid":"https://orcid.org/0000-0001-9823-3870"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Li","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications,China","School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038326097","display_name":"Boxin Shi","orcid":"https://orcid.org/0000-0001-6749-0364"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxin Shi","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University,China","Institute for Artificial Intelligence, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University,China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101873047"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.8646,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75496732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9976999759674072,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7955129146575928},{"id":"https://openalex.org/keywords/shading","display_name":"Shading","score":0.7467128038406372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386517524719238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7289122343063354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7145555019378662},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5963569283485413},{"id":"https://openalex.org/keywords/image-based-lighting","display_name":"Image-based lighting","score":0.5722517371177673},{"id":"https://openalex.org/keywords/albedo","display_name":"Albedo (alchemy)","score":0.5528197884559631},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.433665931224823},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41317999362945557}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7955129146575928},{"id":"https://openalex.org/C177515723","wikidata":"https://www.wikidata.org/wiki/Q1191981","display_name":"Shading","level":2,"score":0.7467128038406372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386517524719238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7289122343063354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7145555019378662},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5963569283485413},{"id":"https://openalex.org/C204060014","wikidata":"https://www.wikidata.org/wiki/Q6002069","display_name":"Image-based lighting","level":4,"score":0.5722517371177673},{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.5528197884559631},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.433665931224823},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41317999362945557},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp51581.2021.9466269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp51581.2021.9466269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G5535730902","display_name":null,"funder_award_id":"61872012,62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7548300780","display_name":null,"funder_award_id":"2019YFF0302902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W39428922","https://openalex.org/W1513100184","https://openalex.org/W1861492603","https://openalex.org/W1934235358","https://openalex.org/W2027560260","https://openalex.org/W2076491823","https://openalex.org/W2101856619","https://openalex.org/W2113404166","https://openalex.org/W2115579991","https://openalex.org/W2193045528","https://openalex.org/W2199820243","https://openalex.org/W2311236754","https://openalex.org/W2520013826","https://openalex.org/W2557465155","https://openalex.org/W2563100679","https://openalex.org/W2567309586","https://openalex.org/W2583983165","https://openalex.org/W2608400466","https://openalex.org/W2798398701","https://openalex.org/W2798567105","https://openalex.org/W2798927139","https://openalex.org/W2810993953","https://openalex.org/W2888277922","https://openalex.org/W2920326761","https://openalex.org/W2952972288","https://openalex.org/W2954058873","https://openalex.org/W2963150697","https://openalex.org/W2963274514","https://openalex.org/W2963587818","https://openalex.org/W2963760790","https://openalex.org/W2964094607","https://openalex.org/W2964254867","https://openalex.org/W2964321964","https://openalex.org/W2982289585","https://openalex.org/W3009953436","https://openalex.org/W3035689535","https://openalex.org/W3049755554","https://openalex.org/W3095060934","https://openalex.org/W3102270524","https://openalex.org/W3106070046","https://openalex.org/W6601593943","https://openalex.org/W6781543076"],"related_works":["https://openalex.org/W2391354390","https://openalex.org/W2168687480","https://openalex.org/W2367406109","https://openalex.org/W2746235346","https://openalex.org/W3035116386","https://openalex.org/W1949884476","https://openalex.org/W2991262107","https://openalex.org/W2116042222","https://openalex.org/W1929315935","https://openalex.org/W2579976818"],"abstract_inverted_index":{"We":[0],"propose":[1,37],"DeRenderNet,":[2],"a":[3,19,29],"deep":[4],"neural":[5],"network":[6],"to":[7,38,96],"decompose":[8],"the":[9,40,53,61,90,103],"albedo":[10,41,78],"and":[11,14,51,55,83,101],"latent":[12],"lighting,":[13],"render":[15],"shape-(in)dependent":[16],"shadings,":[17],"given":[18],"single":[20],"image":[21,72],"of":[22,87,105],"an":[23,84],"outdoor":[24],"urban":[25,110],"scene,":[26],"trained":[27],"in":[28,46,89,99],"self-supervised":[30],"manner.":[31],"To":[32],"achieve":[33],"this":[34],"goal,":[35],"we":[36],"use":[39],"maps":[42,58,63,79],"extracted":[43],"from":[44],"scenes":[45],"videogames":[47],"as":[48,65],"direct":[49],"supervision":[50],"pre-compute":[52],"normal":[54],"shadow":[56],"prior":[57],"based":[59],"on":[60],"depth":[62],"provided":[64],"indirect":[66],"supervision.":[67],"Compared":[68],"with":[69,80],"state-of-the-art":[70],"intrinsic":[71],"decomposition":[73],"methods,":[74],"DeRenderNet":[75],"produces":[76],"shadow-free":[77],"clean":[81],"details":[82],"accurate":[85],"prediction":[86],"shadows":[88],"shape-independent":[91],"shading,":[92],"which":[93],"is":[94],"shown":[95],"be":[97],"effective":[98],"re-rendering":[100],"improving":[102],"accuracy":[104],"high-level":[106],"vision":[107],"tasks":[108],"for":[109],"scenes.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}