{"id":"https://openalex.org/W4404978301","doi":"https://doi.org/10.1145/3681756.3697963","title":"Material and Colored Illumination Separation from Single Real Image via Self-Supervised Domain Adaptation","display_name":"Material and Colored Illumination Separation from Single Real Image via Self-Supervised Domain Adaptation","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404978301","doi":"https://doi.org/10.1145/3681756.3697963"},"language":"en","primary_location":{"id":"doi:10.1145/3681756.3697963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681756.3697963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681756.3697963","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Posters","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3681756.3697963","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012352850","display_name":"Hao Sha","orcid":"https://orcid.org/0009-0009-9682-1228"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Sha","raw_affiliation_strings":["Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081501859","display_name":"Tongtai Cao","orcid":"https://orcid.org/0009-0009-5458-0147"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtai Cao","raw_affiliation_strings":["Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320085","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-6784-8802"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012352850"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21280023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9986000061035156,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/colored","display_name":"Colored","score":0.8341552019119263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820068359375},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6301034092903137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6122559905052185},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.600440263748169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5857334733009338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45000553131103516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3585730493068695},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1260107457637787},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10586321353912354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.061816632747650146}],"concepts":[{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.8341552019119263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820068359375},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6301034092903137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6122559905052185},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.600440263748169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5857334733009338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45000553131103516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3585730493068695},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1260107457637787},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10586321353912354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.061816632747650146},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3681756.3697963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681756.3697963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681756.3697963","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Posters","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3681756.3697963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681756.3697963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681756.3697963","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Posters","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1663316478","display_name":null,"funder_award_id":"6196020600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2131030823","display_name":null,"funder_award_id":"61960206007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6663972822","display_name":null,"funder_award_id":"60206007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8777980471","display_name":null,"funder_award_id":"62332003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404978301.pdf","grobid_xml":"https://content.openalex.org/works/W4404978301.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2888277922","https://openalex.org/W2963587818","https://openalex.org/W3097660860","https://openalex.org/W3129286123"],"related_works":["https://openalex.org/W2140509105","https://openalex.org/W1547843988","https://openalex.org/W3146178872","https://openalex.org/W4235907447","https://openalex.org/W4205128724","https://openalex.org/W2040849466","https://openalex.org/W346008744","https://openalex.org/W2072835713","https://openalex.org/W891964471","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Separating":[0],"material":[1,56],"and":[2,16,38,57,67,76],"illumination":[3,58],"from":[4],"images":[5],"allows":[6],"for":[7,13,26],"realistic":[8,69],"manipulation,":[9],"which":[10],"is":[11],"crucial":[12],"image":[14,70],"editing":[15],"augmented":[17],"reality.In":[18],"this":[19],"work,":[20],"we":[21],"propose":[22],"a":[23,50],"training":[24],"strategy":[25],"intrinsic":[27],"decomposition":[28],"networks":[29],"that":[30],"combines":[31],"unsupervised":[32],"domain":[33],"adaptation":[34],"with":[35],"self-supervised":[36],"constraints":[37],"sparse-guided":[39],"fine-tuning":[40],"in":[41,60],"the":[42,74],"target":[43],"domain.Through":[44],"two":[45],"complex":[46],"optimization":[47],"steps,":[48],"even":[49],"lightweight":[51],"CNN":[52],"can":[53],"achieve":[54],"outstanding":[55],"separation":[59,65],"real":[61],"single":[62],"images.The":[63],"final":[64],"results":[66],"various":[68],"manipulation":[71],"applications":[72],"demonstrate":[73],"effectiveness":[75],"potential":[77],"of":[78],"our":[79],"proposed":[80],"method.":[81]},"counts_by_year":[],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
