WebPhoton-Driven Neural Path Guiding. Preprint. Oct 2024; Shilin Zhu; Zexiang Xu; Tiancheng Sun [...] Ravi Ramamoorthi; Although Monte Carlo path tracing is a simple and effective algorithm to ... WebJul 1, 2024 · This paper designs a light-weight neural network to directly operate convolutions on a sparse quadtree, which regresses a high-quality hierarchical sampling distribution, which enables more fine-grained directional sampling with less memory usage, effectively advancing the practicality and efficiency of neural path guiding. 3. PDF.
Alexandr Kuznetsov
WebPhoton-Driven Neural Path Guiding Although Monte Carlo path tracing is a simple and effective algorithm to... 0 Shilin Zhu, et al. ∙. share ... WebPhoton-Driven Neural Path Guiding. Shilin Zhu, Zexiang Xu,Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi. TOG 2024. … philsys stand for
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http://graphics.ucsd.edu/~henrik/papers/photon_reconstruction_path_guiding.pdf 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 ... WebWe propose to use a deep neural network to reconstruct high-quality sampling maps for path guiding from low-quality noisy sampling maps that are acquired by binning sparse photons (see Fig. 2).Our approach is the first deep learning based photon-driven path guiding approach.In essence, we break down the complex path guiding problem, mainly … t shirt wrc