In this paper, we propose a novel framework StyleFace, which unifies identity swapping and de-identification in one model and renders identity-disentangled face ...

Oct 21, 2022 · In this work, we propose StyleFace, a unified framework for resolution high-fidelity identity swapping and de-identification. To encode real ...

May 4, 2024 · Extensive experiments demonstrate the state-of-the-art performance of StyleFace in high-resolution identity swapping and de-identification.

In this work, we propose StyleFace, a unified framework for 1024 2 resolution high-fidelity identity swapping and de-identification. To encode real identity ...

Styleface: Towards identity-disentangled face generation on megapixels. Y Luo ... Multimodal-driven talking face generation, face swapping, diffusion model.

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels Y. Luo, J. Yan, J. Zhu, K. He, W. Chu, Y. Tai, and C. Wang European Conference on ...

Abstract: We propose DiscoFaceGAN, an approach for face image generation of virtual people with DISentangled, precisely-COntrollable latent representations for ...

Jul 20, 2023 · To solve this problem, we design an debiased encoder that extracts disentangled identity features from fa- cial images by training a face ...

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels · Robust Discrimination and Generation of Faces using Compact, Disentangled Embeddings.

Jan 12, 2023 · In this paper, we take a more ambitious approach in which we disentangle and hide the identity-related facial features while aim- ing to ...