{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:35:22Z","timestamp":1761176122610,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Image inpainting, a critical facet of computer vision, is in full bloom accompanied by the rapid innovation of convolution neural networks and transformers, revolutionizing the practical management of abnormity disposal, image editing, etc. Of these applications, face inpainting is more challenging due to the higher demand for semantic accuracy in key regions such as eyes and nose. Classical face inpainting methods are celebrated for their fast generation speed and refined texture details. However, they often lack the level of controllability required for complex tasks. In contrast, existing multi-modal controllable inpainting techniques offer enhanced guidance through image-text integration but tend to be time-consuming and produce suboptimal texture refinement. To address these limitations, we propose the Multi-modal Pseudo-style Embedded Transformer (MPET), a novel and efficient multi-modal inpainting algorithm that seamlessly integrates the strengths of both approaches, achieving state-of-the-art performance. Specifically, edge completion facilitates a cost-efficient and simple bridging of the contour continuity. Multi-modal pseudo-style generation amalgamates the image-text modalities, successfully embedding text features within the visual vectors, thereby culminating in the formation of pseudo-style diagrams rich in diverse attributes. On that basis, a controllable style-embedded siamese network is elaborated, effectively orchestrating the interaction among style attributes while ensuring high-precision pixel infusion. Extensive experiments on public datasets demonstrate the superiority of our approach through both quantitative and qualitative evaluations, highlighting its potential to advance the field of face inpainting.<\/jats:p>","DOI":"10.3233\/faia250815","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:43:01Z","timestamp":1761126181000},"source":"Crossref","is-referenced-by-count":0,"title":["Controllable Face Inpainting via Pseudo-Style Embedding"],"prefix":"10.3233","author":[{"given":"Jie","family":"Wu","sequence":"first","affiliation":[{"name":"Hangzhou International Innovation Institute, Beihang University"}]},{"given":"Jiawei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"}]},{"given":"Yueqian","family":"Quan","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"}]},{"given":"Honghui","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"}]},{"given":"Wanjun","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"}]},{"given":"Jianwei","family":"Zheng","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250815","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:43:01Z","timestamp":1761126181000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250815"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250815","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}