Gradient-Domain Metropolis Light Transport
"Gradient-Domain Metropolis Light Transport"
Jaakko Lehtinen (NVIDIA), Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Miika Aittala (Aalto University / NVIDIA), Frédo Durand (MIT), Timo Aila (NVIDIA), in ACM Transactions on Graphics (Proc. SIGGRAPH 2013), July 2013
|Research Area:||3D GraphicsRay Tracing|
|Author(s):||Jaakko Lehtinen (NVIDIA), Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Miika Aittala (Aalto University / NVIDIA), Frédo Durand (MIT), Timo Aila (NVIDIA)|
|Abstract:||We introduce a novel Metropolis rendering algorithm that directly computes image gradients, and reconstructs the final image from the gradients by solving a Poisson equation. The reconstruction is aided by a low-fidelity approximation of the image computed during gradient sampling. As an extension of path-space Metropolis light transport, our algorithm is well suited for difficult transport scenarios. We demonstrate that our method outperforms the state-of-the-art in several well-known test scenes. Additionally, we analyze the spectral properties of gradient-domain sampling, and compare it to the traditional image-domain sampling.|
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