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The project focuses on manipulating facial features by adjusting the latent vectors within StyleGAN's architecture. Our objective is to achieve precise modifications in age, gender, and facial expressions in generated images.
The code includes an iterative editing process for automatic control and instance-based boundary generation, enabling controlled attribute modifications in generated faces.
InterfaceGAN++: Exploring the limits of InterfaceGAN. In this repository, we propose an approach, termed as InterFaceGAN++, for semantic face editing based on the work from Shen et al. Specifically, we leverage the ideas from the previous work, by applying the method for new face attributes, and also for StyleGAN3. We qualitatively explain that …