{"id":"https://openalex.org/W4416749443","doi":"https://doi.org/10.1109/iros60139.2025.11247453","title":"DCT-Diffusion: Depth Completion for Transparent Objects with Diffusion Denoising Approach","display_name":"DCT-Diffusion: Depth Completion for Transparent Objects with Diffusion Denoising Approach","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416749443","doi":"https://doi.org/10.1109/iros60139.2025.11247453"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5004310835","display_name":"Zhenning Zhou","orcid":"https://orcid.org/0000-0002-7461-8423"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenning Zhou","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Mechanical Engineering","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003486476","display_name":"Wenzhong Shen","orcid":"https://orcid.org/0000-0002-5957-5795"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Shen","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Mechanical Engineering","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113443639","display_name":"Han Sun","orcid":"https://orcid.org/0000-0003-1076-1287"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Sun","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Mechanical Engineering","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013881991","display_name":"Yizhao Wang","orcid":"https://orcid.org/0000-0002-8990-6663"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhao Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Mechanical Engineering","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051221275","display_name":"Qixin Cao","orcid":"https://orcid.org/0000-0001-5462-9857"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixin Cao","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Mechanical Engineering","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004310835"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40151115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"693","last_page":"700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.4165000021457672,"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":0.4165000021457672,"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":0.193900004029274,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.08340000361204147,"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/noise-reduction","display_name":"Noise reduction","score":0.6098999977111816},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5565000176429749},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5483999848365784},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5249999761581421},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5049999952316284},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45570001006126404},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41600000858306885},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.39149999618530273}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6640999913215637},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6098999977111816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6071000099182129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5983999967575073},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5565000176429749},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5483999848365784},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5249999761581421},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5049999952316284},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.39149999618530273},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.38339999318122864},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.3450999855995178},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2143789285","https://openalex.org/W2145023731","https://openalex.org/W2300779272","https://openalex.org/W2796461436","https://openalex.org/W2889969363","https://openalex.org/W2963591054","https://openalex.org/W3035198432","https://openalex.org/W3035679997","https://openalex.org/W3089874271","https://openalex.org/W3091619233","https://openalex.org/W3107156787","https://openalex.org/W3109128945","https://openalex.org/W3131387676","https://openalex.org/W3138516171","https://openalex.org/W3171847116","https://openalex.org/W3205933337","https://openalex.org/W4285190019","https://openalex.org/W4312819733","https://openalex.org/W4312933868","https://openalex.org/W4382568091","https://openalex.org/W4383108397","https://openalex.org/W4385453360","https://openalex.org/W4386280799","https://openalex.org/W4388854204","https://openalex.org/W4400614813","https://openalex.org/W4402727115","https://openalex.org/W4403947105"],"related_works":[],"abstract_inverted_index":{"Transparent":[0],"objects":[1,16,64],"are":[2],"common":[3],"in":[4],"industrial":[5],"automation":[6],"and":[7,23,47,120,138,154,164,169,188],"daily":[8],"life.":[9],"However,":[10],"accurate":[11],"visual":[12,136],"perception":[13],"of":[14,85],"these":[15,53],"remains":[17],"challenging":[18],"due":[19],"to":[20,30,76,95,100],"their":[21],"reflective":[22],"refractive":[24],"properties.":[25],"Most":[26],"previous":[27,162],"studies":[28,153],"fail":[29],"capture":[31],"contextual":[32],"information":[33],"or":[34],"typically":[35],"rely":[36],"on":[37],"regression-based":[38],"methods":[39,163],"at":[40,145],"the":[41,79,86,97,142,159,167],"decoder":[42],"stage,":[43],"suffering":[44],"from":[45,82,105],"overfitting":[46],"unsatisfactory":[48],"object":[49],"details.":[50],"To":[51],"overcome":[52],"limitations,":[54],"we":[55,71,93],"present":[56],"a":[57,73,125],"novel":[58],"depth":[59,80,103,107,117,182],"completion":[60],"framework":[61],"for":[62],"transparent":[63],"with":[65,141,184],"diffusion":[66,98],"denoising":[67,143],"approach":[68],"(DCT-Diffusion).":[69],"First,":[70],"adopt":[72],"transformer-based":[74],"encoder":[75,133],"globally":[77],"learn":[78],"relationships":[81],"different":[83],"parts":[84],"input":[87],"by":[88],"modeling":[89],"long-distance":[90],"dependencies.":[91],"Then,":[92],"propose":[94],"introduce":[96],"model":[99,113],"generate":[101,181],"refined":[102],"maps":[104,183],"random":[106],"distribution.":[108],"Through":[109],"iterative":[110],"refinement,":[111],"our":[112,178],"can":[114,180],"progressively":[115],"enhance":[116],"map":[118],"details":[119],"achieves":[121],"fine-grained":[122],"performance.":[123],"Lastly,":[124],"conditioned":[126],"fusion":[127],"module":[128],"is":[129],"developed,":[130],"which":[131],"utilizes":[132],"features":[134],"as":[135],"conditions":[137],"fuses":[139],"them":[140],"block":[144],"each":[146],"step":[147],"using":[148],"augmented":[149],"attention.":[150],"Extensive":[151],"comparative":[152],"cross-domain":[155],"experiments":[156],"prove":[157],"that":[158,177],"DCT-Diffusion":[160],"outperforms":[161],"significantly":[165],"improves":[166],"robustness":[168],"generalization":[170],"ability.":[171],"Moreover,":[172],"visualization":[173],"results":[174],"further":[175],"illustrate":[176],"method":[179],"more":[185],"complete":[186],"geometry":[187],"clearer":[189],"boundaries,":[190],"achieving":[191],"satisfactory":[192],"results.":[193]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}