Varying Appearance

Research on varying appearance focuses on accurately and efficiently rendering dynamic scenes and objects, particularly humans and materials, where appearance changes over time due to factors like lighting, motion, and material properties. Current efforts leverage neural rendering techniques, including Gaussian splatting and NeRF-based methods, often incorporating temporal information (e.g., pose sequences, time embeddings) into model architectures to capture these variations. These advancements improve the realism and efficiency of 3D modeling and animation, with applications in fields such as virtual and augmented reality, computer graphics, and digital human modeling.