Real Time High Quality Relighting

Real-time high-quality relighting aims to realistically change the illumination of a scene or object in real-time, a crucial step for creating immersive and interactive experiences. Current research focuses on developing efficient algorithms, often employing neural networks (like diffusion models and neural radiance fields) and Gaussian splatting techniques, to achieve this while accurately representing direct and indirect lighting, including shadows and reflections. These advancements are significant for applications ranging from video conferencing and gaming to virtual and augmented reality, enabling dynamic and realistic lighting control in real-time.