{"id":"https://openalex.org/W4328007149","doi":"https://doi.org/10.1109/tvcg.2023.3259382","title":"NeRC: Rendering Planar Caustics by Learning Implicit Neural Representations","display_name":"NeRC: Rendering Planar Caustics by Learning Implicit Neural Representations","publication_year":2023,"publication_date":"2023-03-20","ids":{"openalex":"https://openalex.org/W4328007149","doi":"https://doi.org/10.1109/tvcg.2023.3259382","pmid":"https://pubmed.ncbi.nlm.nih.gov/37030762"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3259382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3259382","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5027159188","display_name":"Jiaxiong Qiu","orcid":"https://orcid.org/0000-0002-6065-7296"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxiong Qiu","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China","TMCC, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"TMCC, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059487485","display_name":"Ze-Xin Yin","orcid":"https://orcid.org/0009-0004-1478-7868"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze-Xin Yin","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China","TMCC, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"TMCC, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131575","display_name":"Ming\u2010Ming Cheng","orcid":"https://orcid.org/0000-0001-5550-8758"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Ming Cheng","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China","TMCC, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"TMCC, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035195328","display_name":"Bo Ren","orcid":"https://orcid.org/0000-0001-8179-9122"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ren","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China","TMCC, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"TMCC, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027159188"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.3685,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57218975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"30","issue":"7","first_page":"4339","last_page":"4348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8922790884971619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015649318695068},{"id":"https://openalex.org/keywords/specular-highlight","display_name":"Specular highlight","score":0.723662793636322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6090964078903198},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.5856527090072632},{"id":"https://openalex.org/keywords/3d-rendering","display_name":"3D rendering","score":0.5601833462715149},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5509082078933716},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.5415310263633728},{"id":"https://openalex.org/keywords/real-time-rendering","display_name":"Real-time rendering","score":0.5357235074043274},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.5231760144233704},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4619809091091156},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.44014492630958557},{"id":"https://openalex.org/keywords/caustic","display_name":"Caustic (mathematics)","score":0.4339936375617981},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4294244647026062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1566709280014038},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12802839279174805},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11715513467788696},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08946177363395691}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8922790884971619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015649318695068},{"id":"https://openalex.org/C50045419","wikidata":"https://www.wikidata.org/wiki/Q7575328","display_name":"Specular highlight","level":3,"score":0.723662793636322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6090964078903198},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.5856527090072632},{"id":"https://openalex.org/C36816356","wikidata":"https://www.wikidata.org/wiki/Q16911860","display_name":"3D rendering","level":3,"score":0.5601833462715149},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5509082078933716},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.5415310263633728},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.5357235074043274},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.5231760144233704},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4619809091091156},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.44014492630958557},{"id":"https://openalex.org/C2779567845","wikidata":"https://www.wikidata.org/wiki/Q3492725","display_name":"Caustic (mathematics)","level":2,"score":0.4339936375617981},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4294244647026062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1566709280014038},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12802839279174805},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11715513467788696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08946177363395691}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3259382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3259382","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37030762","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37030762","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1544458871","display_name":null,"funder_award_id":"62132012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3432882601","display_name":null,"funder_award_id":"61922046","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":37,"referenced_works":["https://openalex.org/W2023322507","https://openalex.org/W2041621129","https://openalex.org/W2100738800","https://openalex.org/W2104814486","https://openalex.org/W2131413095","https://openalex.org/W2142380402","https://openalex.org/W2519683295","https://openalex.org/W2737057113","https://openalex.org/W2962785568","https://openalex.org/W2972600666","https://openalex.org/W3034395814","https://openalex.org/W3042547367","https://openalex.org/W3085249258","https://openalex.org/W3092948912","https://openalex.org/W3109585842","https://openalex.org/W3172624760","https://openalex.org/W3177583232","https://openalex.org/W3195352639","https://openalex.org/W3195620846","https://openalex.org/W3212622187","https://openalex.org/W4200313684","https://openalex.org/W4205735446","https://openalex.org/W4205996876","https://openalex.org/W4214628039","https://openalex.org/W4243655835","https://openalex.org/W4245933748","https://openalex.org/W4287864845","https://openalex.org/W4288242633","https://openalex.org/W4299608135","https://openalex.org/W4312679369","https://openalex.org/W6682889407","https://openalex.org/W6741813933","https://openalex.org/W6774418182","https://openalex.org/W6779753539","https://openalex.org/W6784492152","https://openalex.org/W6797770180","https://openalex.org/W7027680533"],"related_works":["https://openalex.org/W2366215510","https://openalex.org/W1817749143","https://openalex.org/W2280611243","https://openalex.org/W28365449","https://openalex.org/W2386960075","https://openalex.org/W2407724398","https://openalex.org/W2090047443","https://openalex.org/W2350100566","https://openalex.org/W2119861534","https://openalex.org/W2185876354"],"abstract_inverted_index":{"Caustics":[0],"are":[1],"challenging":[2],"light":[3,29,65,180],"transport":[4],"effects":[5],"for":[6,79,116,171],"photo-realistic":[7],"rendering.":[8],"Photon":[9],"mapping":[10,21],"techniques":[11],"play":[12],"a":[13,32,58,70,108],"fundamental":[14],"role":[15],"in":[16,31,165,174],"rendering":[17,53,74,117,172],"caustics.":[18],"However,":[19],"photon":[20],"methods":[22],"render":[23],"single":[24],"caustics":[25,56,173],"under":[26],"the":[27,61,64,84,96,102,121,130,134,140,143,150,166,178,186,189],"stationary":[28],"source":[30,66],"fixed":[33],"scene":[34,59],"view.":[35],"They":[36],"require":[37],"significant":[38],"storage":[39],"and":[40,63,88,104,133,152,168],"computing":[41],"resources":[42],"to":[43,138],"produce":[44],"high-quality":[45],"results.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,94,113,128],"propose":[51],"efficiently":[52],"more":[54],"diverse":[55],"of":[57,86,90,142],"with":[60,76,107,177],"camera":[62],"moving.":[67],"We":[68],"present":[69],"novel":[71,175],"learning-based":[72],"volume":[73],"approach":[75],"implicit":[77,122],"representations":[78],"our":[80,157,183],"proposed":[81],"task.":[82],"Considering":[83],"variety":[85],"materials":[87],"textures":[89],"planar":[91],"caustic":[92],"receivers,":[93],"decompose":[95],"output":[97],"appearance":[98],"into":[99],"two":[100],"components:":[101],"diffuse":[103],"specular":[105],"parts":[106],"probabilistic":[109],"module.":[110],"Unlike":[111],"NeRF,":[112],"construct":[114],"weights":[115],"each":[118],"component":[119],"from":[120],"signed":[123],"distance":[124],"function":[125,137],"(SDF).":[126],"Moreover,":[127],"introduce":[129],"centering":[131],"calibration":[132],"sine":[135],"activation":[136],"improve":[139],"performance":[141,162],"color":[144],"prediction":[145],"network.":[146],"Extensive":[147],"experiments":[148],"on":[149,188],"synthetic":[151],"real-world":[153],"datasets":[154],"illustrate":[155],"that":[156],"method":[158,184],"achieves":[159],"much":[160],"better":[161],"than":[163],"baselines":[164],"quantitative":[167],"qualitative":[169],"comparison,":[170],"views":[176],"dynamic":[179],"source.":[181],"Especially,":[182],"outperforms":[185],"baseline":[187],"temporal":[190],"consistency":[191],"across":[192],"frames.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
