Bailey

I'm a fifth year PhD at Carnegie Mellon where I'm advised by Ioannis Gkioulekas. My work is supported by the NVIDIA Graduate Research Fellowship and previously was supported by the NSF Graduate Research Fellowship. During my PhD I've had the opportunity to intern with Adobe Research, Apple's Exploratory Design Group (XDG), and NVIDIA's High-Fidelity Physics Research team. I received a BA in Computer Science and Mathematics at Dartmouth College, where I had the privilege of working with Wojciech Jarosz.

publications


Differential Walk on Spheres
ACM Transactions on Graphics (SIGGRAPH Asia), 2024
3D Reconstruction with Fast Dipole Sums
Hanyu Chen, Bailey Miller and Ioannis Gkioulekas
ACM Transactions on Graphics (SIGGRAPH Asia), 2024
Walkin' Robin: Walk on Stars with Robin Boundary Conditions
ACM Transactions on Graphics (SIGGRAPH), 2024
best paper award
Objects as Volumes: A stochastic geometry theory for opaque solids
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
best student paper honorable mention award
Boundary Value Caching for Walk on Spheres
ACM Transactions on Graphics (SIGGRAPH), 2023
Path-Space Differentiable Rendering
ACM Transactions on Graphics (SIGGRAPH), 2020
A null-scattering path integral formulation of light transport
Bailey Miller*, Iliyan Georgiev* and Wojciech Jarosz
ACM Transactions on Graphics (SIGGRAPH), 2019
(*, † indicate equal contribution)

teaching


Monte Carlo Geometry Processing
Co-organizer
SGP Graduate School Course, 2024
Physics-Based Rendering (15-468 / 15-668)
Teaching Assistant
CMU, Fall 2021, Spring 2022
Rendering Algorithms (CS 87 / 187)
Teaching Assistant
Dartmouth, Spring 2018

source code for this website is available on github