Path Tracing
Path tracing is a rendering technique that simulates light transport in a 3D scene to create photorealistic images, aiming for accuracy and efficiency. Current research focuses on improving its speed and reducing noise through adaptive sampling strategies, neural networks for denoising and importance sampling, and novel gradient estimation methods for inverse rendering problems. These advancements are impacting various fields, including robotics (through simulation of tactile sensors), computer vision (via event camera simulation), and material/lighting estimation, enabling more realistic simulations and faster rendering times for applications requiring high-fidelity visuals.
Papers
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