T2I Generation

Text-to-image (T2I) generation focuses on creating realistic images from textual descriptions, aiming for precise control over image content, style, and composition. Current research emphasizes improving controllability through methods like incorporating additional modalities (e.g., edge maps, user trajectories) and developing efficient, adaptable architectures such as LoRA adapters that enhance existing models without extensive retraining. These advancements are significant for various applications, including creative content generation, design tools, and improving the safety and reliability of AI image generation systems by mitigating issues like copyright infringement and malicious content generation.