AMD GPUOpen recently introduced a new lightweight, attention-based neural global illumination (GI) model. This technique reconstructs off-screen indirect illumination by utilizing reflective shadow maps. The primary goal of the model is to generalize to scenes not encountered during its training, according to AMD GPUOpen. This approach aims to enhance rendering realism and efficiency by providing a novel method for addressing complex global illumination challenges in real-time graphics applications, potentially reducing the need for extensive scene-specific pre-training.