{"id":"https://openalex.org/W4389600258","doi":"https://doi.org/10.48550/arxiv.2312.05133","title":"GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization","display_name":"GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389600258","doi":"https://doi.org/10.48550/arxiv.2312.05133"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.05133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.05133","pdf_url":"https://arxiv.org/pdf/2312.05133","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.05133","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010582949","display_name":"Yahao Shi","orcid":"https://orcid.org/0009-0009-2296-0241"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shi, Yahao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101688674","display_name":"Yanmin Wu","orcid":"https://orcid.org/0000-0002-3926-4500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yanmin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103089859","display_name":"Chenming Wu","orcid":"https://orcid.org/0000-0001-8012-1547"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Chenming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381472","display_name":"Xing Liu","orcid":"https://orcid.org/0000-0002-7480-5085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351992","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0001-9843-6758"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113096046","display_name":"Haocheng Feng","orcid":"https://orcid.org/0000-0002-7567-3053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Haocheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014592","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0003-2091-1090"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Bin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050031109","display_name":"Errui Ding","orcid":"https://orcid.org/0000-0002-1867-5378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Errui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075880303","display_name":"Jingdong Wang","orcid":"https://orcid.org/0000-0002-4888-4445"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jingdong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5010582949"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9994000196456909,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8047389984130859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717961072921753},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6954596042633057},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6638251543045044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5182890295982361},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5060636401176453},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5040180087089539},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4817957282066345},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.47320693731307983},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4528917670249939},{"id":"https://openalex.org/keywords/3d-rendering","display_name":"3D rendering","score":0.4401456415653229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4362793564796448},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.41459932923316956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38815000653266907},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36257439851760864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3056424856185913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19042083621025085},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10336405038833618}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8047389984130859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717961072921753},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6954596042633057},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6638251543045044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5182890295982361},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5060636401176453},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5040180087089539},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4817957282066345},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.47320693731307983},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4528917670249939},{"id":"https://openalex.org/C36816356","wikidata":"https://www.wikidata.org/wiki/Q16911860","display_name":"3D rendering","level":3,"score":0.4401456415653229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4362793564796448},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.41459932923316956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38815000653266907},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36257439851760864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3056424856185913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19042083621025085},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10336405038833618},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.05133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.05133","pdf_url":"https://arxiv.org/pdf/2312.05133","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.05133","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.05133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.05133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.05133","pdf_url":"https://arxiv.org/pdf/2312.05133","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2101878516","https://openalex.org/W4361200097","https://openalex.org/W2508913736","https://openalex.org/W2067132795","https://openalex.org/W2185876354","https://openalex.org/W1487887441","https://openalex.org/W2187985480","https://openalex.org/W4390833826","https://openalex.org/W2167686266","https://openalex.org/W2755539017"],"abstract_inverted_index":{"This":[0,129],"paper":[1],"presents":[2],"a":[3,44,90,95,100],"3D":[4,11,37,71],"Gaussian":[5,12,38,72],"Inverse":[6],"Rendering":[7],"(GIR)":[8],"method,":[9],"employing":[10],"representations":[13],"to":[14,73],"effectively":[15],"factorize":[16],"the":[17,33,40,85,119],"scene":[18],"into":[19],"material":[20,153],"properties,":[21],"light,":[22],"and":[23,99,113,135,155],"geometry.":[24],"The":[25,157],"key":[26],"contributions":[27],"lie":[28],"in":[29,69,110,145],"three-fold.":[30],"We":[31,55],"compute":[32],"normal":[34,50],"of":[35],"each":[36,70],"using":[39],"shortest":[41],"eigenvector,":[42],"with":[43,94],"directional":[45],"masking":[46],"scheme":[47,63],"forcing":[48],"accurate":[49],"estimation":[51],"without":[52],"external":[53],"supervision.":[54],"adopt":[56],"an":[57,142],"efficient":[58],"voxel-based":[59],"indirect":[60],"illumination":[61,76,86],"tracing":[62],"that":[64],"stores":[65],"direction-aware":[66],"outgoing":[67],"radiance":[68],"disentangle":[74],"secondary":[75],"for":[77],"approximating":[78],"multi-bounce":[79],"light":[80],"transport.":[81],"To":[82],"further":[83],"enhance":[84],"disentanglement,":[87],"we":[88],"represent":[89],"high-resolution":[91],"environmental":[92],"map":[93,98],"learnable":[96],"low-resolution":[97],"lightweight,":[101],"fully":[102],"convolutional":[103],"network.":[104],"Our":[105],"method":[106],"achieves":[107],"state-of-the-art":[108],"performance":[109],"both":[111],"relighting":[112],"novel":[114],"view":[115],"synthesis":[116],"tasks":[117],"among":[118],"recently":[120],"proposed":[121,132],"inverse":[122],"rendering":[123],"methods":[124],"while":[125],"achieving":[126],"real-time":[127,147],"rendering.":[128],"substantiates":[130],"our":[131],"method's":[133],"efficacy":[134],"broad":[136],"applicability,":[137],"highlighting":[138],"its":[139],"potential":[140],"as":[141,152],"influential":[143],"tool":[144],"various":[146],"interactive":[148],"graphics":[149],"applications":[150],"such":[151],"editing":[154],"relighting.":[156],"code":[158],"will":[159],"be":[160],"released":[161],"at":[162],"https://github.com/guduxiaolang/GIR.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}