Appearance Editing

Appearance editing, encompassing the modification of visual attributes in images and videos, aims to provide precise and efficient control over visual elements like color, texture, and even motion. Current research heavily utilizes diffusion models, neural radiance fields (NeRFs), and generative adversarial networks (GANs), often incorporating techniques like Gaussian splatting and StyleGAN for real-time rendering and high-fidelity results. This field is significant for its applications in diverse areas such as virtual reality, augmented reality, video editing, and digital art, offering powerful tools for creative expression and content manipulation.