{"id":"https://openalex.org/W4408111612","doi":"https://doi.org/10.5220/0013130600003912","title":"Conditioned Generative AI for Synthetic Training of 6D Object Pose Detection","display_name":"Conditioned Generative AI for Synthetic Training of 6D Object Pose Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408111612","doi":"https://doi.org/10.5220/0013130600003912"},"language":"en","primary_location":{"id":"doi:10.5220/0013130600003912","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013130600003912","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0013130600003912","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059565354","display_name":"Mathijs Lens","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Mathijs Lens","raw_affiliation_strings":["EAVISE-PSI, KU Leuven Campus De Nayer, Sint-Katelijne-Waver, Belgium"],"affiliations":[{"raw_affiliation_string":"EAVISE-PSI, KU Leuven Campus De Nayer, Sint-Katelijne-Waver, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047475583","display_name":"Anja Van Campenhout","orcid":"https://orcid.org/0000-0002-8158-5535"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Aaron Van Campenhout","raw_affiliation_strings":["EAVISE-PSI, KU Leuven Campus De Nayer, Sint-Katelijne-Waver, Belgium"],"affiliations":[{"raw_affiliation_string":"EAVISE-PSI, KU Leuven Campus De Nayer, Sint-Katelijne-Waver, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057957125","display_name":"Toon Goedem\u00e9","orcid":"https://orcid.org/0000-0002-7477-8961"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Toon Goedem\u00e9","raw_affiliation_strings":["EAVISE-PSI, KU Leuven Campus De Nayer, Sint-Katelijne-Waver, Belgium"],"affiliations":[{"raw_affiliation_string":"EAVISE-PSI, KU Leuven Campus De Nayer, Sint-Katelijne-Waver, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059565354"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03385211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"324","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8371999859809875,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8371999859809875,"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/T13382","display_name":"Robotics and Automated Systems","score":0.7864999771118164,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.7799000144004822,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.722987711429596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6336761713027954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6284455060958862},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6045398116111755},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5593006014823914},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5205515623092651},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4826231896877289},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4770059883594513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41810792684555054},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.051353394985198975}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722987711429596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336761713027954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6284455060958862},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6045398116111755},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5593006014823914},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5205515623092651},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4826231896877289},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4770059883594513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41810792684555054},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.051353394985198975},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0013130600003912","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013130600003912","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/761837","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/761837","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"VISAPP 2025 - 20th International Conference on Computer Vision Theory and Applications, Av. de Fern\u00e3o de Magalh\u00e3es 7, 4300-190 Porto, Portugal, 26 February 2025","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.5220/0013130600003912","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013130600003912","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2380075625","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W4394050964","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2551249631"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,52],"propose":[4],"a":[5,13,47,83],"method":[6],"to":[7,20,89],"generate":[8,35],"synthetic":[9],"training":[10,37,40],"images":[11,38,61,88],"for":[12,39,46,108],"more":[14],"complex":[15],"computer":[16],"vision":[17],"task":[18],"compared":[19],"image":[21,71],"classification,":[22],"specifically":[23],"6D":[24],"object":[25,42,49],"pose":[26,43],"detection.":[27],"We":[28,96],"demonstrate":[29,97],"that":[30],"conditioned":[31],"diffusion":[32],"models":[33],"can":[34],"unlimited":[36],"an":[41],"detection":[44,107],"model":[45,81],"custom":[48],"type.":[50],"Moreover,":[51],"investigate":[53],"the":[54,63,67,70,75,79,91,101,109],"potential":[55],"of":[56,69,77,86,104,111],"(automatically)":[57],"filtering":[58],"out":[59],"ill-produced":[60],"in":[62,100],"dataset,":[64,72],"which":[65],"increases":[66],"quality":[68],"and":[73],"show":[74],"importance":[76],"finetuning":[78],"trained":[80],"with":[82],"limited":[84],"amount":[85],"real-world":[87],"bridge":[90],"remaining":[92],"sim2real":[93],"domain":[94],"gap.":[95],"our":[98,120],"pipeline":[99],"use":[102],"case":[103],"parcel":[105],"box":[106],"automation":[110],"delivery":[112],"vans.":[113],"All":[114],"code":[115],"is":[116],"publicly":[117],"available":[118],"on":[119],"GitLab":[121],"https://gitlab.com/EAVISE/avc/generative-ai-synthetic-training-pose-detection.":[122]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
