Neural Illumination

Neural illumination focuses on computationally modeling and manipulating light in images and 3D scenes, aiming to improve image restoration, scene reconstruction, and rendering under challenging lighting conditions. Current research emphasizes developing neural networks, often employing neural radiance fields (NeRFs) or similar architectures, to learn and represent complex lighting interactions, including shadows, reflections, and indirect illumination from various sources. This work is significant for advancing computer vision, robotics (e.g., enabling robust vision in low-light environments), and computer graphics (e.g., creating more realistic virtual environments and facilitating relighting of existing scenes).