Bailey

Bailey Miller

Carnegie Mellon University
bmmiller@andrew.cmu.edu
Github
Google Scholar
CV

I am a fourth year PhD student 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 and Apple's Exploratory Design Group. I received a BA in Computer Science and Mathematics at Dartmouth College, where I had the privilege of working with Wojciech Jarosz.

Publications

Objects as Volumes: A stochastic geometry theory for opaque solids
CVPR (2024)
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paper
arXiv preprint
Walk on Stars: Grid-Free Monte Carlo for Neumann Boundary Conditions
ACM Trans. on Graph. (2023)
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paper
publisher version
Boundary Value Caching for Walk on Spheres
ACM Trans. on Graph. (2023)
project
paper
publisher version
Path-Space Differentiable Rendering
ACM Trans. on Graph. (2020)
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paper
publisher version
A null-scattering path integral formulation of light transport
ACM Trans. on Graph. (2019)
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paper
publisher version
Variance and convergence analysis of Monte Carlo line and segment sampling
Gurprit Singh, Bailey Miller, Wojciech Jarosz
Computer Graph. Forum (2017)
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paper
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(*, † indicates equal contribution)

Teaching Assistant

  • Master of Science Computer Vision (MSCV) Capstone (CMU 16-622) Fall 2023, Spring 2024
  • Physics-Based Rendering (CMU 15-468 / 15-668) Spring 2021, Spring 2022
  • Rendering Algorithms (Dartmouth CS 87 / 187) Spring 2018

Source code for this website is available on Github