{"id":"https://openalex.org/W7131819126","doi":"https://doi.org/10.1109/lra.2026.3668590","title":"Sim2Real Domain Shifting: Hyper-Realistic Data Generation for Object Segmentation","display_name":"Sim2Real Domain Shifting: Hyper-Realistic Data Generation for Object Segmentation","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7131819126","doi":"https://doi.org/10.1109/lra.2026.3668590"},"language":null,"primary_location":{"id":"doi:10.1109/lra.2026.3668590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2026.3668590","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"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 Robotics and Automation Letters","raw_type":"journal-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":null,"display_name":"Han Zheng","orcid":"https://orcid.org/0000-0001-6817-8831"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zheng","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6817-8831","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838","https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127191305","display_name":"Rong Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xiong","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9318-9014","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838","https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127437147","display_name":"Yue Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0981-935X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838","https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127195076","display_name":"Jun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["School of Mechanical Engineering, Zhejiang SciTech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0468-8610","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Zhejiang SciTech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23994574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"4","first_page":"4761","last_page":"4768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14569999277591705,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14569999277591705,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.09200000017881393,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.06809999793767929,"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/segmentation","display_name":"Segmentation","score":0.666100025177002},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5796999931335449},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.5475999712944031},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5092999935150146},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5022000074386597},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.45579999685287476},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.45329999923706055},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44859999418258667},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4453999996185303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771399974822998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7400000095367432},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.666100025177002},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6499999761581421},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5796999931335449},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5092999935150146},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5022000074386597},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44859999418258667},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4453999996185303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3443000018596649},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26989999413490295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2026.3668590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2026.3668590","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W132147841","https://openalex.org/W1997057955","https://openalex.org/W2125865219","https://openalex.org/W2550673061","https://openalex.org/W2605102758","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963150697","https://openalex.org/W2963188159","https://openalex.org/W2963271314","https://openalex.org/W2970067499","https://openalex.org/W2970399728","https://openalex.org/W2987262850","https://openalex.org/W2989045104","https://openalex.org/W3002450089","https://openalex.org/W3033114334","https://openalex.org/W3035198432","https://openalex.org/W3047258141","https://openalex.org/W3092774272","https://openalex.org/W3128632815","https://openalex.org/W3166852674","https://openalex.org/W3176065502","https://openalex.org/W3176659256","https://openalex.org/W3186077919","https://openalex.org/W3204077273","https://openalex.org/W4214496973","https://openalex.org/W4221167997","https://openalex.org/W4285126451","https://openalex.org/W4307411952","https://openalex.org/W4311414407","https://openalex.org/W4312339971","https://openalex.org/W4312933868","https://openalex.org/W4321377343","https://openalex.org/W4385805054","https://openalex.org/W4386071535","https://openalex.org/W4390190260","https://openalex.org/W4390504782","https://openalex.org/W4390874575","https://openalex.org/W4393970321","https://openalex.org/W4402727293","https://openalex.org/W4402727436","https://openalex.org/W4402916402","https://openalex.org/W4404601423","https://openalex.org/W4413146161","https://openalex.org/W4416750745"],"related_works":[],"abstract_inverted_index":{"Object":[0],"segmentation":[1],"is":[2],"a":[3,40,50,89],"critical":[4],"prerequisite":[5],"for":[6],"robotic":[7],"tasks":[8],"such":[9],"as":[10,114,116],"grasping":[11],"and":[12,17,26],"assembly.":[13],"While":[14],"high":[15],"accuracy":[16],"reliability":[18],"typically":[19],"require":[20],"extensive":[21],"real-world":[22,63],"data,":[23],"its":[24],"collection":[25],"annotation":[27],"are":[28,83],"costly.":[29],"Although":[30],"synthetic":[31,53,75],"data":[32,54,76,126],"generated":[33],"through":[34],"physically-based":[35],"rendering":[36],"mitigates":[37],"this":[38,59],"need,":[39],"persistent":[41],"domain":[42,67],"gap":[43,60],"hinders":[44],"model":[45],"performance.":[46],"This":[47],"paper":[48],"introduces":[49],"novel":[51],"hyper-realistic":[52],"generation":[55],"method":[56,101],"to":[57,105],"mitigate":[58],"with":[61],"minimal":[62],"data.":[64],"By":[65],"extracting":[66],"information":[68],"from":[69],"limited":[70],"real":[71,111,118],"scenes,":[72],"we":[73],"shift":[74],"toward":[77],"the":[78,122],"target":[79],"domain.":[80],"Realistic":[81],"backgrounds":[82],"synthesized":[84],"using":[85,113],"generative":[86],"models,":[87],"while":[88],"two-stage":[90],"style":[91],"transfer,":[92],"guided":[93],"by":[94],"anchor":[95],"image":[96],"styles,":[97],"adapts":[98],"foregrounds.":[99],"Our":[100],"achieves":[102],"performance":[103],"comparable":[104],"models":[106],"trained":[107],"on":[108,124],"thousands":[109],"of":[110],"images":[112],"few":[115],"one":[117],"image,":[119],"significantly":[120],"reducing":[121],"reliance":[123],"large-scale":[125],"collection.":[127]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-02-28T00:00:00"}