Interactive Facial Image Editing

Interactive facial image editing focuses on developing methods for realistically and precisely manipulating facial features in images and videos, often aiming for high controllability and fidelity. Current research emphasizes advancements in generative adversarial networks (GANs), particularly those employing dual-space architectures and transformers, to achieve better disentanglement of facial attributes and enable more nuanced edits. These techniques are being applied to diverse tasks, including single and multi-person image personalization, multi-turn editing guided by natural language dialogue, and high-resolution talking face generation. This field is significant for its potential applications in entertainment, virtual reality, and various creative industries, as well as for advancing our understanding of image generation and manipulation.