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Importance Sampling of the Micrograin Visible NDF
1. Motivation and related work Most physically-based rendering engines solve the rendering equation through Monte Carlo integration. This process produces noisy images that can only be removed by computing more samples, or by using denoisers (e.g., [SFA*24]) or more efficient importance sampling algorithms. Even though denoisers are nowadays efficient, the final image depends on the quality of the input image, which is why the development of low variance sampling algorithms is still required.
Non‐Orthogonal Reduction for Rendering Fluorescent Materials in Non‐Spectral Engines
References , , and . “Simultaneous Surface Reflectance and Fluorescence Spectra Estimation”. IEEE Transactions on Image Processing 29 (2020), 8791–8804. doi: 10.1109/TIP.2020.2973810 2. , , , et al. “Simulation of fluorescent concentrators”. 2008 IEEE Symposium on Interactive Ray Tracing. 2008, 93–98. doi: 10.1109/RT.2008.4634628 2. and . “A Microfacet Model for Specular Fluorescent Surfaces and Fluorescent Volume Rendering using Quantum Dots”. Eurographics Symposium on Rendering.
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