Semantic Image Editing

Semantic image editing aims to modify images based on high-level semantic instructions, such as text descriptions or segmentation maps, rather than direct pixel manipulation. Current research focuses on improving the precision and control of edits using various approaches, including diffusion models, generative adversarial networks (GANs), and transformer-based architectures, often incorporating scene graphs or latent space manipulations for more nuanced control. This field is significant for its potential to revolutionize image manipulation tasks across diverse applications, from creative content generation to more efficient and intuitive image editing software.