WebAug 9, 2024 · We present Neural Reflectance Fields, a novel deep scene representation that encodes volume density, normal and reflectance properties at any 3D point in a scene using a fully-connected neural network.We combine this representation with a physically-based differentiable ray marching framework that can render images from a neural reflectance … WebApr 25, 2024 · These approaches are aimed at path tracing, which is not ideal for simulating challenging light transport effects like caustics, where photon mapping is the method of …
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WebOct 5, 2024 · Request PDF Photon-Driven Neural Path Guiding Although Monte Carlo path tracing is a simple and effective algorithm to synthesize photo-realistic images, it is often … WebPhoton-Driven Neural Path Guiding . Although Monte Carlo path tracing is a simple and effective algorithm to synthesize photo-realistic images, it is often very slow to converge to noise-free results when involving complex global illumination. One of the most successful variance-reduction techniques is path guiding, which can learn better ... WebPhoton-Driven Neural Reconstruction for Path Guiding TOG 2024 We present a novel neural path guiding approach that can reconstruct high-quality sampling distributions for path guiding from a sparse set of … gia wilson