Scene Editing

Scene editing research focuses on manipulating images and videos, aiming for precise control over both individual objects and the overall scene composition. Current efforts leverage techniques like Gaussian splatting, neural radiance fields (NeRFs), and diffusion models, often incorporating text-based instructions or audio signals to guide the editing process. These advancements enable more intuitive and efficient scene manipulation, with applications ranging from entertainment and advertising to potentially revolutionizing 3D modeling and virtual/augmented reality experiences. A key trend is the development of methods that improve efficiency and reduce the need for extensive training data, allowing for faster and more versatile scene editing.