{"id":"https://openalex.org/W4311134465","doi":"https://doi.org/10.1145/3550469.3555407","title":"Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing","display_name":"Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4311134465","doi":"https://doi.org/10.1145/3550469.3555407"},"language":"en","primary_location":{"id":"doi:10.1145/3550469.3555407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550469.3555407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2022 Conference Papers","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/A5014432907","display_name":"Jingsen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsen Zhu","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061806060","display_name":"Fujun Luan","orcid":"https://orcid.org/0000-0001-5926-6266"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fujun Luan","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081150377","display_name":"Yuchi Huo","orcid":"https://orcid.org/0000-0003-3296-7999"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchi Huo","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China and Zhejiang Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China and Zhejiang Lab, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100870790","display_name":"Zihao Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Lin","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005284573","display_name":"Zhihua Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Zhong","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064435070","display_name":"Dianbing Xi","orcid":"https://orcid.org/0009-0003-1668-1082"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianbing Xi","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431417","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0003-4267-0347"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059021869","display_name":"Hujun Bao","orcid":"https://orcid.org/0000-0002-2662-0334"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hujun Bao","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113969178","display_name":"Jiaxiang Zheng","orcid":"https://orcid.org/0009-0007-0755-067X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxiang Zheng","raw_affiliation_strings":["KooLab, Manycore, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KooLab, Manycore, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101688422","display_name":"Rui Tang","orcid":"https://orcid.org/0000-0002-3079-0539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Tang","raw_affiliation_strings":["KooLab, Manycore, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KooLab, Manycore, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.569,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95981191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8531500697135925},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.8295563459396362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796878457069397},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.6712782382965088},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.5912415981292725},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5760939121246338},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.575151801109314},{"id":"https://openalex.org/keywords/path-tracing","display_name":"Path tracing","score":0.5616494417190552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259773135185242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5015449523925781},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.4861738085746765},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.41390833258628845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11464118957519531},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08313044905662537}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8531500697135925},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.8295563459396362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796878457069397},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6712782382965088},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.5912415981292725},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5760939121246338},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.575151801109314},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.5616494417190552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259773135185242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5015449523925781},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.4861738085746765},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.41390833258628845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11464118957519531},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08313044905662537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3550469.3555407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550469.3555407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2022 Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1905829557","https://openalex.org/W1953465585","https://openalex.org/W2008331211","https://openalex.org/W2076491823","https://openalex.org/W2117751343","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2557465155","https://openalex.org/W2563100679","https://openalex.org/W2594519801","https://openalex.org/W2605060370","https://openalex.org/W2888277922","https://openalex.org/W2902812770","https://openalex.org/W2905260191","https://openalex.org/W2948213750","https://openalex.org/W2950021214","https://openalex.org/W2963446712","https://openalex.org/W2964339842","https://openalex.org/W2986023562","https://openalex.org/W3005254078","https://openalex.org/W3009953436","https://openalex.org/W3035062946","https://openalex.org/W3035689535","https://openalex.org/W3048916779","https://openalex.org/W3094088110","https://openalex.org/W3108325989","https://openalex.org/W3109585842","https://openalex.org/W3174497039","https://openalex.org/W3176368002","https://openalex.org/W3183274607","https://openalex.org/W3184289337","https://openalex.org/W3203344405","https://openalex.org/W3215589927","https://openalex.org/W3215927878","https://openalex.org/W4221151978","https://openalex.org/W4297812694","https://openalex.org/W4312480149","https://openalex.org/W6600031136","https://openalex.org/W6607725495","https://openalex.org/W6863511876"],"related_works":["https://openalex.org/W4252587038","https://openalex.org/W1986743298","https://openalex.org/W2011674708","https://openalex.org/W151283179","https://openalex.org/W655645366","https://openalex.org/W4238852003","https://openalex.org/W1485484480","https://openalex.org/W1980536927","https://openalex.org/W4308974340","https://openalex.org/W2008870867"],"abstract_inverted_index":{"Indoor":[0],"scenes":[1],"typically":[2],"exhibit":[3],"complex,":[4],"spatially-varying":[5,48],"appearance":[6],"from":[7],"global":[8],"illumination,":[9],"making":[10],"inverse":[11,23,132],"rendering":[12,24,59,133],"a":[13,37,56,80,99],"challenging":[14],"ill-posed":[15],"problem.":[16],"This":[17],"work":[18],"presents":[19],"an":[20],"end-to-end,":[21],"learning-based":[22],"framework":[25,35],"incorporating":[26],"differentiable":[27,58],"Monte":[28],"Carlo":[29],"raytracing":[30],"with":[31,61,86,104,153],"importance":[32],"sampling.":[33],"The":[34],"takes":[36],"single":[38],"image":[39],"as":[40,146],"input":[41,74,120],"to":[42,112,139],"jointly":[43],"recover":[44],"the":[45,73,116,119],"underlying":[46],"geometry,":[47],"lighting,":[49],"and":[50,93,150,157],"photorealistic":[51,82],"materials.":[52],"Specifically,":[53],"we":[54,78,97,129],"introduce":[55],"physically-based":[57],"layer":[60],"screen-space":[62],"ray":[63],"tracing,":[64],"resulting":[65],"in":[66],"more":[67],"realistic":[68],"specular":[69],"reflections":[70],"that":[71],"match":[72],"photo.":[75,121],"In":[76],"addition,":[77],"create":[79],"large-scale,":[81],"indoor":[83],"scene":[84],"dataset":[85],"significantly":[87],"richer":[88],"details":[89],"like":[90],"complex":[91,147],"furniture":[92],"dedicated":[94],"decorations.":[95],"Further,":[96],"design":[98],"novel":[100],"out-of-view":[101],"lighting":[102,114],"network":[103],"uncertainty-aware":[105],"refinement":[106],"leveraging":[107],"hypernetwork-based":[108],"neural":[109],"radiance":[110],"fields":[111],"predict":[113],"outside":[115],"view":[117],"of":[118,135],"Through":[122],"extensive":[123],"evaluations":[124],"on":[125],"common":[126],"benchmark":[127],"datasets,":[128],"demonstrate":[130],"superior":[131],"quality":[134],"our":[136],"method":[137],"compared":[138],"state-of-the-art":[140],"baselines,":[141],"enabling":[142],"various":[143],"applications":[144],"such":[145],"object":[148],"insertion":[149],"material":[151],"editing":[152],"high":[154],"fidelity.":[155],"Code":[156],"data":[158],"will":[159],"be":[160],"made":[161],"available":[162],"at":[163],"https://jingsenzhu.github.io/invrend":[164]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}