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To better preserves identity consistency, the proposed facial feature recombination network fully leverages the properties of both <jats:italic>w<\/jats:italic> space and encoders to decouple identities. Furthermore, we presents the image reconstruction module aligns and blends images in <jats:italic>FS<\/jats:italic> space, which further supplements facial details and achieves natural blending. It not only improves image resolution but also optimizes visual quality. Extensive experiments and user studies demonstrate that GPSwap is superior to state\u2010of\u2010the\u2010art high\u2010resolution face\u2010swapping methods in terms of image quality and identity consistency. In addition, GPSwap saves nearly 80% of training costs compared to other high\u2010resolution face\u2010swapping works.<\/jats:p>","DOI":"10.1002\/cav.2238","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T03:51:10Z","timestamp":1720756270000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["GPSwap: High\u2010resolution face swapping based on StyleGAN prior"],"prefix":"10.1002","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2437-6657","authenticated-orcid":false,"given":"Dongjin","family":"Huang","sequence":"first","affiliation":[{"name":"Shanghai Film Academy Shanghai University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0246-9561","authenticated-orcid":false,"given":"Chuanman","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Film Academy Shanghai University  Shanghai 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