{"id":"https://openalex.org/W7160871653","doi":"https://doi.org/10.48550/arxiv.2605.07695","title":"OphEdit: Training-Free Text-Guided Editing of Ophthalmic Surgical Videos","display_name":"OphEdit: Training-Free Text-Guided Editing of Ophthalmic Surgical Videos","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160871653","doi":"https://doi.org/10.48550/arxiv.2605.07695"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.07695","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07695","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.07695","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135872613","display_name":"Ritul Jangir","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jangir, Ritul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135847129","display_name":"Arkya Jyoti Bagchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bagchi, Arkya Jyoti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135875579","display_name":"Aiman Farooq","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farooq, Aiman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135851927","display_name":"Mangalton Okram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Okram, Mangalton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135855352","display_name":"Saurabh Seetaram Korgaonkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Korgaonkar, Saurabh Seetaram","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135880829","display_name":"Deepak Mishra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mishra, Deepak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.16500000655651093,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.16500000655651093,"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":0.09650000184774399,"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/T11448","display_name":"Face recognition and analysis","score":0.07010000199079514,"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/video-editing","display_name":"Video editing","score":0.4489000141620636},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42750000953674316},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3874000012874603},{"id":"https://openalex.org/keywords/surgical-instrument","display_name":"Surgical instrument","score":0.38679999113082886},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3840000033378601},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.38370001316070557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7407000064849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45500001311302185},{"id":"https://openalex.org/C2780310081","wikidata":"https://www.wikidata.org/wiki/Q1154312","display_name":"Video editing","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41670000553131104},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C2778181360","wikidata":"https://www.wikidata.org/wiki/Q1074814","display_name":"Surgical instrument","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2833999991416931},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2639000117778778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.07695","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07695","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.07695","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07695","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.584386944770813,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"High-fidelity":[0],"surgical":[1,27,63,129,163],"video":[2,20,119,148,158],"generation":[3],"can":[4,190],"greatly":[5],"improve":[6],"medical":[7,173],"training":[8],"and":[9,44,135,142,188],"the":[10,41,58,81,91,98,104,109,118,153,161,176],"development":[11],"of":[12,61,108,156],"AI,":[13],"adapting":[14],"these":[15,87],"generative":[16],"models":[17],"for":[18,57,169,178],"precise":[19],"editing":[21,60,159],"remains":[22],"a":[23,53,68,166],"formidable":[24],"challenge.":[25],"Modifying":[26],"attributes,":[28],"such":[29,131],"as":[30,132],"instrument":[31,133],"tissue":[32],"interactions":[33],"or":[34,182],"procedural":[35,136],"phases":[36],"is":[37],"challenging":[38],"due":[39],"to":[40,74,146],"strict":[42],"anatomical":[43,106],"temporal":[45,143],"constraints.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"OphEdit,":[52],"novel":[54],"training-free":[55,157],"framework":[56],"text-guided":[59],"ophthalmic":[62,162],"videos.":[64],"Our":[65,150],"approach":[66],"leverages":[67],"deterministic":[69],"second-order":[70],"ODE":[71],"inversion":[72],"pipeline":[73],"capture":[75],"Attention":[76],"Value":[77],"(V)":[78],"tensors":[79,89],"from":[80],"original":[82],"video.":[83],"By":[84],"selectively":[85],"injecting":[86],"stored":[88],"into":[90],"conditional":[92],"Classifier-Free":[93],"Guidance":[94],"(CFG)":[95],"branch":[96],"during":[97],"denoising":[99],"phase,":[100],"OphEdit":[101,125],"rigorously":[102],"preserves":[103],"intricate":[105],"geometry":[107],"eye":[110],"while":[111],"seamlessly":[112],"mapping":[113],"text-driven":[114],"semantic":[115],"modifications":[116],"onto":[117],"stream.":[120],"Clinical":[121],"evaluations":[122],"demonstrates":[123],"that":[124],"effectively":[126],"handles":[127],"complex":[128],"transformations,":[130],"swaps":[134],"variations,":[137],"with":[138],"superior":[139],"structural":[140],"fidelity":[141],"consistency":[144],"compared":[145],"natural-domain":[147],"editors.":[149],"work":[151],"represents":[152],"first":[154],"application":[155],"in":[160],"domain,":[164],"offering":[165],"scalable":[167],"solution":[168],"generating":[170],"diverse,":[171],"annotated":[172],"datasets":[174],"without":[175],"need":[177],"exhaustive":[179],"manual":[180],"recording":[181],"costly":[183],"model":[184],"fine-tuning.":[185],"The":[186],"code":[187],"prompts":[189],"be":[191],"accessed":[192],"at":[193],"https://github.com/ophedit/OphEdit":[194]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-12T00:00:00"}