This chapter covers advanced image editing tasks: depth-of-field manipulation (e.g., RefocusGAN for bokeh effects via deblurring/refocusing), image fusion (e.g., GP-GAN blending Poisson equations with GANs), and interactive editing (e.g., SPADE using spatially adaptive normalization for semantic synthesis). Depth editing simulates optical effects via focus control. Fusion frameworks balance color consistency and gradient alignment. SPADE enables high-fidelity image generation from semantic masks by preserving spatial context. The chapter emphasizes practical tools (e.g., Focos for depth editing) and challenges in realism and user accessibility.