Text Guided Image Manipulation

Text-guided image manipulation uses natural language instructions to modify existing images, aiming for precise and semantically consistent edits. Current research focuses on improving the accuracy and efficiency of these edits, particularly for multi-aspect and continuous changes, often employing diffusion models, GANs, and transformer-based architectures that leverage CLIP embeddings for text-image alignment. This field is significant for advancing computer graphics and AI, enabling more intuitive and powerful image editing tools with applications in various creative and scientific domains.