Decorrelating ReSTIR Samplers via MCMC Mutations
Sawhney, Lin, Kettunen, Bitterli, Ramamoorthi, Wyman, Pharr
ACM Transactions on Graphics (2023)
Paper  |  Supplemental  |  Video
I'm a Senior Research Scientist in the High Fidelity Physics research group at NVIDIA. Before joing NVIDIA, I did my PhD in Computer Science at Carnegie Mellon University, advised by Keenan Crane. I'm broadly interested in developing new algorithms at the intersection of geometry processing, simulation and rendering. My current research explores how core problems in PDE-based geometric computing can be efficiently and reliably solved via grid-free Monte Carlo methods without any volumetric mesh generation, taking inspiration from algorithms for photorealistic rendering.
I received an Nvidia Graduate Fellowship, a Carnegie Mellon Graduate Presidential Fellowship, and an Honorably Mention Best Paper Award at SIGGRAPH for my work on Monte Carlo PDE solvers. I've also received the Symposium on Geometry Processing best software aware for the Boundary First Flattening application to quickly and robustly generate UV maps. Previously, I worked at IrisVR, Inc. as a core graphics engineer and received my Bachelor’s in Physics and Computer Science from Columbia University. Find my CV here.
Sawhney, Lin, Kettunen, Bitterli, Ramamoorthi, Wyman, Pharr
ACM Transactions on Graphics (2023)
Paper  |  Supplemental  |  Video
Sawhney*, Miller*, Gkioulekas†, Crane†
ACM Transactions on Graphics (2023)
Paper  |  Code  |  Tutorial  |  Talk
Miller*, Sawhney*, Crane†, Gkioulekas†
ACM Transactions on Graphics (2023)
Sawhney*, Seyb*, Jarosz†, Crane†
ACM Transactions on Graphics (2022)
Best Paper (Honorable Mention)
Paper  |  Supplemental  |  Code  |  Talk
Sawhney, Crane
ACM Transactions on Graphics (2020)
Paper  |  Project Page  |  Talk
Sawhney, Crane
ACM Transactions on Graphics (2018)
SGP Best Software Award (2019)
Paper  |  Project Page  |  Talk  |  Web Demo
FCPW
Header only C++ library for fast vectorized closest point queries
geometry-processing-js
Fast & flexible framework for 3D geometry processing on the web
linear-algebra-js
Sparse & dense matrix routines with Cholesky, LU & QR support on the web