109 citations · 274 across the 12 of their papers we have counts for
12 papers
Precomputed Lens Transport Maps
Yang Chen, Xiaochun Tong, Afet Abzar +3
Accurate real-time simulation of lens optics remains challenging due to the computational expense of full ray tracing and the limitations of existing approximations. The commonly u…
Monte Carlo Rendering to Diffusion Curves with Differential BEM
Ryusuke Sugimoto, Christopher Batty, Siddhartha Chaudhuri +4
We present a method for generating vector graphics, in the form of diffusion curves, directly from noisy samples produced by a Monte Carlo renderer. While generating raster images…
Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs
Ryusuke Sugimoto, Nathan King, Toshiya Hachisuka +1
We present projected walk on spheres (PWoS), a novel pointwise and discretization-free Monte Carlo solver for surface PDEs with Dirichlet boundaries, as a generalization of the wal…
Galerkin Method of Regularized Stokeslets for Procedural Fluid Flow with Control Curves
Ryusuke Sugimoto, Jeff Lait, Christopher Batty +1
We present a new procedural incompressible velocity field authoring tool, which lets users design a volumetric flow by directly specifying velocity along control curves. Our method…
Velocity-Based Monte Carlo Fluids
Ryusuke Sugimoto, Christopher Batty, Toshiya Hachisuka
We present a velocity-based Monte Carlo fluid solver that overcomes the limitations of its existing vorticity-based counterpart. Because the velocity-based formulation is more comm…
A Practical Walk-on-Boundary Method for Boundary Value Problems
Ryusuke Sugimoto, Terry Chen, Yiti Jiang +2
We introduce the walk-on-boundary (WoB) method for solving boundary value problems to computer graphics. WoB is a grid-free Monte Carlo solver for certain classes of second order p…
Regression-based Monte Carlo Integration
Corentin Salaün, Adrien Gruson, Binh-Son Hua +2
Monte Carlo integration is typically interpreted as an estimator of the expected value using stochastic samples. There exists an alternative interpretation in calculus where Monte…
Deep Adaptive Wavelet Network
Maria Ximena Bastidas Rodriguez, Adrien Gruson, Luisa F. Polania +4
Even though convolutional neural networks have become the method of choice in many fields of computer vision, they still lack interpretability and are usually designed manually in…
Quantum Coin Method for Numerical Integration
N. H. Shimada, Toshiya Hachisuka
Monte Carlo integration approximates an integral of a black-box function by taking the average of many evaluations (i.e., samples) of the function (integrand). For queries of t…
Wavelet Convolutional Neural Networks
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
Spatial and spectral approaches are two major approaches for image processing tasks such as image classification and object recognition. Among many such algorithms, convolutional n…
Wavelet Convolutional Neural Networks for Texture Classification
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
Texture classification is an important and challenging problem in many image processing applications. While convolutional neural networks (CNNs) achieved significant successes for…
Implementing a Photorealistic Rendering System using GLSL
Toshiya Hachisuka
Ray tracing on GPUs is becoming quite common these days. There are many publicly available documents on how to implement basic ray tracing on GPUs for spheres and implicit surfaces…