Lighting Simulation

Lighting simulation aims to accurately predict how light interacts with a scene, enabling realistic rendering and analysis across various applications. Recent research focuses on developing efficient methods, such as leveraging panoramic images or neural networks, to create detailed lighting models from readily available data, reducing the need for extensive manual modeling. These advancements are improving the realism and speed of simulations, with significant implications for fields like robotics (improving perception system training) and architectural design (facilitating accurate lighting analysis).

Papers