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.|
ACM Copyright Notice Copyright by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or email@example.com. The definitive version of this paper can be found at ACM's Digital Library http://www.acm.org/dl/.