Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing explores a novel methodology for GAN inversion and image editing , emphasizing the importance of preserving details and improving editability. The proposed dual-stream framework aligns details gradually during image reconstruction and editing.

• Innovates in GAN-based image attribute editing.
• Introduces dual-stream process for detail preservation.
• Highlights the gradual injection of details for consistency.
• Extensive experiments validate the framework’s effectiveness.

Such advancements in GAN technology promise more refined capabilities in digital image handling and pave the way for high-fidelity visual representations in various applications, including virtual reality and graphic design.