{"id":"https://openalex.org/W4400527566","doi":"https://doi.org/10.1109/fg59268.2024.10581924","title":"ClipSwap: Towards High Fidelity Face Swapping via Attributes and CLIP-Informed Loss","display_name":"ClipSwap: Towards High Fidelity Face Swapping via Attributes and CLIP-Informed Loss","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527566","doi":"https://doi.org/10.1109/fg59268.2024.10581924"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10581924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg59268.2024.10581924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111254274","display_name":"Phyo Thet Yee","orcid":null},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Phyo Thet Yee","raw_affiliation_strings":["Indian Institute of Technology,Ropar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Ropar,India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055393595","display_name":"Sudeepta Mishra","orcid":"https://orcid.org/0000-0003-4821-4318"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudeepta Mishra","raw_affiliation_strings":["Indian Institute of Technology,Ropar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Ropar,India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085376429","display_name":"Abhinav Dhall","orcid":"https://orcid.org/0000-0002-2230-1440"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Dhall","raw_affiliation_strings":["Indian Institute of Technology,Ropar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Ropar,India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":1.4224,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82960993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9315999746322632,"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"}},"topics":[{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9315999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6640613675117493},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6608295440673828},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5884588956832886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3595760464668274},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10007423162460327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640613675117493},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6608295440673828},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5884588956832886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3595760464668274},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10007423162460327},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10581924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg59268.2024.10581924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"ClipSwap,":[3],"a":[4,50,56,116],"new":[5],"frame-work":[6],"designed":[7],"for":[8,14,79,112],"high-fidelity":[9],"face":[10,15,40,67,76,188],"swapping.":[11,68],"Earlier":[12],"methods":[13,186],"swapping":[16,41,77,177],"often":[17],"struggle":[18],"in":[19,26,45,74,123,187,191],"identity":[20,86,121,194],"transfer":[21,195],"due":[22],"to":[23,64,88,132,157],"the":[24,29,75,81,89,94,100,108,124,134,141,155,159,163,175],"mismatches":[25],"attributes":[27,97,139,161],"between":[28],"target":[30,164],"and":[31,55,114,119,168,196],"source":[32,84,101,104,137],"images.":[33],"To":[34],"handle":[35],"this":[36],"issue,":[37],"an":[38],"attributes-aware":[39,66],"approach":[42],"is":[43],"proposed":[44,180],"our":[46],"work.":[47],"We":[48,147],"use":[49],"conditional":[51],"Generative":[52],"Adversarial":[53],"Network":[54],"CLIP-based":[57],"encoder,":[58],"which":[59,153],"extracts":[60],"rich":[61],"semantic":[62,96],"knowledge":[63],"achieve":[65],"Our":[69,179],"framework":[70],"uses":[71],"CLIP":[72,113],"embedding":[73],"process":[78],"improving":[80],"transmission":[82],"of":[83,136,162,193],"image's":[85],"details":[87],"swapped":[90,142],"image":[91,105,111,143],"by":[92],"refining":[93],"high-level":[95],"obtained":[98],"from":[99,144],"image.":[102,165],"And":[103],"serves":[106],"as":[107],"input":[109],"reference":[110],"ensures":[115],"more":[117],"accurate":[118],"detailed":[120],"representation":[122],"final":[125],"result.":[126],"Additionally,":[127],"we":[128],"apply":[129],"Contrastive":[130],"Loss":[131],"guide":[133],"transformation":[135],"facial":[138,160,197],"onto":[140],"various":[145],"viewpoints.":[146],"also":[148],"introduce":[149],"Attributes":[150],"Preservation":[151],"Loss,":[152],"penalizes":[154],"network":[156],"keep":[158],"Thorough":[166],"quantitative":[167],"qualitative":[169],"evaluations":[170],"on":[171],"multiple":[172],"datasets":[173],"illustrate":[174],"high-quality":[176],"results.":[178],"ClipSwap":[181],"outperforms":[182],"prior":[183],"state-of-the-art":[184],"(SOTA)":[185],"swapping,":[189],"particularly":[190],"terms":[192],"attribute":[198],"features.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
