Semantic Editing

Semantic editing focuses on modifying digital content—images, videos, 3D models, code, or text—based on its meaning or semantic attributes, aiming for precise and controllable alterations. Current research emphasizes leveraging deep learning models, including GANs, diffusion models, and LLMs, often incorporating techniques like latent space manipulation, activation steering, and semantic distillation to achieve high-fidelity edits. This field is significant for advancing human-computer interaction in creative applications and improving the robustness and reliability of AI systems across various domains, such as software development and speech recognition.