Foveated Path Tracing with Configurable Sampling and Block-Based Rendering

Path tracing offers high-fidelity rendering but remains impractical for real-time applications due to slow convergence and noise. We present a dynamic foveated path tracing technique that leverages visual perception by reducing sampling towards peripheral regions. Our system achieves up to 25-fold performance gains on complex scenes at $4K$ resolution with minimal perceptual degradation. We validate its effectiveness using structured error maps across varying sampling rates and foveated region sizes, establishing a foundation for future research in perceptual photorealistic rendering.