Text Guided Image

Text-guided image generation and editing leverages the power of large language models to manipulate and create images based on textual descriptions. Current research focuses on improving the accuracy and controllability of these processes, employing diffusion models, generative adversarial networks (GANs), and transformer-based architectures to achieve high-fidelity results and address challenges like semantic alignment and object consistency. This field is significant for its potential to revolutionize image editing software, creative content generation, and applications requiring precise image manipulation based on natural language instructions. The development of robust and efficient models is driving progress in both image synthesis and understanding.